Instructions to use AesSedai/Qwen3.5-122B-A10B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use AesSedai/Qwen3.5-122B-A10B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use AesSedai/Qwen3.5-122B-A10B-GGUF with Ollama:
```
ollama run hf.co/AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M
```

Unsloth Studio

How to use AesSedai/Qwen3.5-122B-A10B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AesSedai/Qwen3.5-122B-A10B-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for AesSedai/Qwen3.5-122B-A10B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AesSedai/Qwen3.5-122B-A10B-GGUF to start chatting

How to use AesSedai/Qwen3.5-122B-A10B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use AesSedai/Qwen3.5-122B-A10B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use AesSedai/Qwen3.5-122B-A10B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use AesSedai/Qwen3.5-122B-A10B-GGUF with Docker Model Runner:
```
docker model run hf.co/AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M
```

Lemonade

How to use AesSedai/Qwen3.5-122B-A10B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AesSedai/Qwen3.5-122B-A10B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.5-122B-A10B-GGUF-Q4_K_M

List all available models

lemonade list

Qwen3.5-122B-A10B-GGUF / kld_data /llm_quantization_data.csv

AesSedai

Super-squash branch 'main' using huggingface_hub

30dfb25 3 months ago

Raw

History Blame Contribute Delete

47.8 kB

	model_name,file_size_gb,bpw,Mean KLD_mean,0.00.489.544 I llama_model_loader,0.00.489.545 I llama_model_loader,0.00.489.586 I llama_model_loader,0.00.489.587 I llama_model_loader,0.00.489.588 I llama_model_loader,0.00.489.596 I llama_model_loader,0.00.489.597 I llama_model_loader,0.00.489.598 I llama_model_loader,0.00.489.599 I llama_model_loader,0.00.499.956 I llama_model_loader,0.00.499.958 I llama_model_loader,0.00.500.023 I llama_model_loader,0.00.500.024 I llama_model_loader,0.00.500.025 I llama_model_loader,0.00.500.033 I llama_model_loader,0.00.500.034 I llama_model_loader,0.00.500.035 I llama_model_loader,0.00.500.037 I llama_model_loader,0.00.501.135 I llama_model_loader,0.00.501.136 I llama_model_loader,0.00.501.188 I llama_model_loader,0.00.501.189 I llama_model_loader,0.00.501.190 I llama_model_loader,0.00.501.203 I llama_model_loader,0.00.501.205 I llama_model_loader,0.00.501.208 I llama_model_loader,0.00.501.209 I llama_model_loader,0.00.507.350 I llama_model_loader,0.00.507.351 I llama_model_loader,0.00.507.393 I llama_model_loader,0.00.507.394 I llama_model_loader,0.00.507.395 I llama_model_loader,0.00.507.402 I llama_model_loader,0.00.507.403 I llama_model_loader,0.00.507.404 I llama_model_loader,0.00.507.406 I llama_model_loader,0.00.507.407 I llama_model_loader,0.00.515.087 I llama_model_loader,0.00.515.088 I llama_model_loader,0.00.515.150 I llama_model_loader,0.00.515.151 I llama_model_loader,0.00.515.159 I llama_model_loader,0.00.515.160 I llama_model_loader,0.00.515.161 I llama_model_loader,0.00.515.163 I llama_model_loader,0.00.515.164 I llama_model_loader,0.00.520.195 I llama_model_loader,0.00.520.197 I llama_model_loader,0.00.520.198 I llama_model_loader,0.00.520.200 I print_info,0.00.520.201 I print_info,0.00.530.661 I llama_model_loader,0.00.530.662 I llama_model_loader,0.00.530.663 I llama_model_loader,0.00.530.667 I llama_model_loader,0.00.530.668 I llama_model_loader,0.00.530.671 I print_info,0.00.532.976 I llama_model_loader,0.00.532.977 I llama_model_loader,0.00.532.978 I llama_model_loader,0.00.532.983 I llama_model_loader,0.00.532.984 I llama_model_loader,0.00.532.985 I llama_model_loader,0.00.532.989 I print_info,0.00.532.990 I print_info,0.00.538.046 I llama_model_loader,0.00.538.047 I llama_model_loader,0.00.538.052 I llama_model_loader,0.00.538.053 I llama_model_loader,0.00.538.055 I print_info,0.00.545.933 I llama_model_loader,0.00.545.934 I llama_model_loader,0.00.545.938 I llama_model_loader,0.00.545.939 I llama_model_loader,0.00.545.948 I print_info,0.00.545.949 I print_info,0.01.122.002 I llama_model_loader,0.01.122.050 I llama_model_loader,0.01.122.051 I llama_model_loader,0.01.122.060 I llama_model_loader,0.01.122.062 I llama_model_loader,0.01.122.064 I llama_model_loader,0.01.122.065 I llama_model_loader,0.01.153.038 I llama_model_loader,0.01.153.039 I llama_model_loader,0.01.153.040 I llama_model_loader,0.01.153.045 I llama_model_loader,0.01.153.046 I llama_model_loader,0.01.153.048 I print_info,0.01.276.371 I load,0.01.278.521 I load,0.01.279.262 I load,0.01.286.062 I load,0.01.288.589 I load,0.01.298.978 I load,0.01.298.979 I load,0.01.298.980 I load,0.01.299.151 I load,0.01.301.245 I load,0.01.301.246 I load,0.01.301.247 I load,0.01.301.434 I load,0.01.301.730 I load,0.01.301.731 I load,0.01.301.732 I load,0.01.301.905 I load,0.01.309.183 I load,0.01.309.184 I load,0.01.309.366 I load,0.01.311.143 I load,0.01.311.144 I load,0.01.311.318 I load,0.01.348.917 I load,0.01.348.942 I print_info,0.01.348.943 I print_info,0.01.348.944 I print_info,0.01.348.945 I print_info,0.01.348.961 I print_info,0.01.348.969 I print_info,0.01.348.970 I print_info,0.01.348.971 I print_info,0.01.348.972 I print_info,0.01.348.974 I print_info,0.01.348.977 I print_info,0.01.348.980 I print_info,0.01.348.981 I print_info,0.01.349.003 I print_info,0.01.349.010 I print_info,0.01.349.011 I print_info,0.01.349.012 I print_info,0.01.349.015 I print_info,0.01.349.016 I print_info,0.01.349.017 I print_info,0.01.349.018 I print_info,0.01.349.019 I print_info,0.01.349.020 I print_info,0.01.349.021 I print_info,0.01.349.022 I print_info,0.01.349.023 I print_info,0.01.349.028 I print_info,0.01.349.029 I print_info,0.01.349.030 I print_info,0.01.349.031 I print_info,0.01.349.032 I print_info,0.01.349.033 I print_info,0.01.349.035 I print_info,0.01.349.036 I print_info,0.01.350.141 I load,0.01.350.165 I print_info,0.01.350.166 I print_info,0.01.350.167 I print_info,0.01.350.168 I print_info,0.01.350.185 I print_info,0.01.350.187 I print_info,0.01.350.188 I print_info,0.01.350.189 I print_info,0.01.350.190 I print_info,0.01.350.192 I print_info,0.01.350.196 I print_info,0.01.350.198 I print_info,0.01.350.199 I print_info,0.01.350.205 I print_info,0.01.350.206 I print_info,0.01.350.208 I print_info,0.01.350.209 I print_info,0.01.350.210 I print_info,0.01.350.211 I print_info,0.01.350.212 I print_info,0.01.350.213 I print_info,0.01.350.214 I print_info,0.01.350.218 I print_info,0.01.350.219 I print_info,0.01.350.220 I print_info,0.01.350.221 I print_info,0.01.350.222 I print_info,0.01.351.032 I load,0.01.351.057 I print_info,0.01.351.058 I print_info,0.01.351.059 I print_info,0.01.351.060 I print_info,0.01.351.078 I print_info,0.01.351.079 I print_info,0.01.351.080 I print_info,0.01.351.081 I print_info,0.01.351.082 I print_info,0.01.351.084 I print_info,0.01.351.087 I print_info,0.01.351.090 I print_info,0.01.351.091 I print_info,0.01.351.093 I print_info,0.01.351.095 I print_info,0.01.351.096 I print_info,0.01.351.097 I print_info,0.01.351.098 I print_info,0.01.351.100 I print_info,0.01.351.101 I print_info,0.01.351.102 I print_info,0.01.351.103 I print_info,0.01.351.104 I print_info,0.01.351.106 I print_info,0.01.351.107 I print_info,0.01.351.108 I print_info,0.01.351.109 I print_info,0.01.351.111 I print_info,0.01.351.112 I print_info,0.01.351.113 I print_info,0.01.351.114 I print_info,0.01.351.120 I print_info,0.01.351.121 I print_info,0.01.351.122 I print_info,0.01.351.123 I print_info,0.01.351.124 I print_info,0.01.351.125 I print_info,0.01.351.126 I print_info,0.01.351.127 I print_info,0.01.351.128 I print_info,0.01.353.325 I load_tensors,0.01.353.330 I load_tensors,0.01.353.331 I load_tensors,0.01.353.332 I load_tensors,0.01.353.341 I load_tensors,0.01.353.342 I load_tensors,0.01.353.915 I load_tensors,0.01.353.916 I load_tensors,0.01.353.920 I load_tensors,0.01.353.921 I load_tensors,0.01.353.922 I load_tensors,0.01.354.846 I load_tensors,0.01.354.851 I load_tensors,0.01.354.852 I load_tensors,0.01.354.853 I load_tensors,0.01.356.308 I llama_context,0.01.356.309 I llama_context,0.01.356.314 I llama_context,0.01.356.315 I llama_context,0.01.356.888 I llama_context,0.01.356.889 I llama_context,0.01.356.893 I llama_context,0.01.356.894 I llama_context,0.01.357.893 I llama_context,0.01.357.894 I llama_context,0.01.357.899 I llama_context,0.01.357.900 I llama_context,0.01.358.833 I load,0.01.358.859 I print_info,0.01.358.860 I print_info,0.01.358.862 I print_info,0.01.358.880 I print_info,0.01.358.887 I print_info,0.01.358.889 I print_info,0.01.358.891 I print_info,0.01.358.895 I print_info,0.01.358.897 I print_info,0.01.358.898 I print_info,0.01.358.901 I print_info,0.01.358.902 I print_info,0.01.358.904 I print_info,0.01.358.905 I print_info,0.01.358.906 I print_info,0.01.358.910 I print_info,0.01.358.911 I print_info,0.01.358.912 I print_info,0.01.358.913 I print_info,0.01.358.914 I print_info,0.01.358.915 I print_info,0.01.358.920 I print_info,0.01.358.921 I print_info,0.01.358.924 I print_info,0.01.358.925 I print_info,0.01.358.926 I print_info,0.01.360.144 I load,0.01.360.168 I print_info,0.01.360.169 I print_info,0.01.360.171 I print_info,0.01.360.188 I print_info,0.01.360.192 I print_info,0.01.360.194 I print_info,0.01.360.195 I print_info,0.01.360.199 I print_info,0.01.360.201 I print_info,0.01.360.202 I print_info,0.01.360.204 I print_info,0.01.360.205 I print_info,0.01.360.206 I print_info,0.01.360.207 I print_info,0.01.360.208 I print_info,0.01.360.209 I print_info,0.01.360.210 I print_info,0.01.360.211 I print_info,0.01.360.212 I print_info,0.01.360.213 I print_info,0.01.360.214 I print_info,0.01.360.219 I print_info,0.01.360.220 I print_info,0.01.360.221 I print_info,0.01.360.222 I print_info,0.01.360.223 I print_info,0.01.361.140 I llama_context,0.01.361.262 I llama_kv_cache,0.01.361.271 I llama_kv_cache,0.01.361.272 I llama_kv_cache,0.01.361.273 I llama_kv_cache,0.01.361.274 I llama_kv_cache,0.01.361.275 I llama_kv_cache,0.01.361.281 I llama_kv_cache,0.01.361.282 I llama_kv_cache,0.01.361.474 I llama_context,0.01.361.596 I llama_kv_cache,0.01.361.604 I llama_kv_cache,0.01.361.605 I llama_kv_cache,0.01.361.606 I llama_kv_cache,0.01.361.607 I llama_kv_cache,0.01.361.612 I llama_kv_cache,0.01.361.613 I llama_kv_cache,0.01.361.817 I llama_memory_recurrent,0.01.362.137 I llama_memory_recurrent,0.01.362.147 I llama_memory_recurrent,0.01.362.504 I llama_memory_recurrent,0.01.362.534 I llama_memory_recurrent,0.01.362.660 I load_tensors,0.01.362.664 I load_tensors,0.01.362.665 I load_tensors,0.01.362.666 I load_tensors,0.01.362.667 I load_tensors,0.01.362.865 I llama_memory_recurrent,0.01.362.882 I llama_memory_recurrent,0.01.363.126 I llama_context,0.01.363.209 I llama_memory_recurrent,0.01.363.233 I llama_memory_recurrent,0.01.363.247 I llama_kv_cache,0.01.363.256 I llama_kv_cache,0.01.363.257 I llama_kv_cache,0.01.363.258 I llama_kv_cache,0.01.363.259 I llama_kv_cache,0.01.363.265 I llama_kv_cache,0.01.363.622 I llama_memory_recurrent,0.01.363.623 I llama_memory_recurrent,0.01.363.825 I llama_memory_recurrent,0.01.363.893 I load_tensors,0.01.363.898 I load_tensors,0.01.363.899 I load_tensors,0.01.363.900 I load_tensors,0.01.363.956 I llama_memory_recurrent,0.01.364.002 I llama_memory_recurrent,0.01.364.170 I llama_memory_recurrent,0.01.364.237 I llama_memory_recurrent,0.01.364.327 I llama_memory_recurrent,0.01.364.544 I llama_memory_recurrent,0.01.364.624 I llama_memory_recurrent,0.01.364.881 I llama_memory_recurrent,0.01.365.253 I llama_memory_recurrent,0.01.365.629 I llama_memory_recurrent,0.01.365.670 I llama_context,0.01.365.671 I llama_context,0.01.365.672 I llama_context,0.01.365.675 I llama_context,0.01.365.676 I llama_context,0.01.365.961 I llama_memory_recurrent,0.01.366.246 I llama_memory_recurrent,0.01.366.937 I llama_context,0.01.366.938 I llama_context,0.01.366.951 I llama_context,0.01.366.952 I llama_context,0.01.370.683 I llama_context,0.01.370.804 I llama_kv_cache,0.01.370.815 I llama_kv_cache,0.01.370.816 I llama_kv_cache,0.01.370.817 I llama_kv_cache,0.01.370.818 I llama_kv_cache,0.01.370.819 I llama_kv_cache,0.01.370.825 I llama_kv_cache,0.01.371.338 I llama_memory_recurrent,0.01.371.685 I llama_memory_recurrent,0.01.372.031 I llama_context,0.01.372.055 I llama_memory_recurrent,0.01.372.175 I llama_kv_cache,0.01.372.183 I llama_kv_cache,0.01.372.184 I llama_kv_cache,0.01.372.185 I llama_kv_cache,0.01.372.186 I llama_kv_cache,0.01.372.192 I llama_kv_cache,0.01.372.387 I llama_memory_recurrent,0.01.372.735 I llama_memory_recurrent,0.01.372.799 I llama_memory_recurrent,0.01.373.089 I llama_memory_recurrent,0.01.373.169 I llama_memory_recurrent,0.01.373.492 I llama_memory_recurrent,0.01.373.517 I llama_memory_recurrent,0.01.373.803 I llama_memory_recurrent,0.01.373.832 I llama_memory_recurrent,0.01.374.227 I llama_memory_recurrent,0.01.374.604 I llama_memory_recurrent,0.01.374.950 I llama_memory_recurrent,0.01.375.258 I llama_memory_recurrent,0.01.453.700 I sched_reserve,0.01.453.713 I sched_reserve,0.01.453.714 I sched_reserve,0.01.453.715 I sched_reserve,0.01.453.716 I sched_reserve,0.01.453.717 I sched_reserve,0.01.453.721 I sched_reserve,0.01.454.251 I common_memory_breakdown_print,0.01.457.155 I sched_reserve,0.01.457.172 I sched_reserve,0.01.457.173 I sched_reserve,0.01.457.174 I sched_reserve,0.01.457.175 I sched_reserve,0.01.457.176 I sched_reserve,0.01.457.179 I sched_reserve,0.01.457.765 I common_memory_breakdown_print,0.01.464.774 I sched_reserve,0.01.464.786 I sched_reserve,0.01.464.787 I sched_reserve,0.01.464.788 I sched_reserve,0.01.464.789 I sched_reserve,0.01.464.790 I sched_reserve,0.01.464.793 I sched_reserve,0.01.465.780 I common_memory_breakdown_print,0.01.468.807 I sched_reserve,0.01.468.822 I sched_reserve,0.01.468.823 I sched_reserve,0.01.468.824 I sched_reserve,0.01.468.825 I sched_reserve,0.01.468.826 I sched_reserve,0.01.468.830 I sched_reserve,0.01.470.080 I sched_reserve,0.01.470.092 I sched_reserve,0.01.470.093 I sched_reserve,0.01.470.094 I sched_reserve,0.01.470.095 I sched_reserve,0.01.470.096 I sched_reserve,0.01.470.099 I sched_reserve,0.01.470.682 I common_memory_breakdown_print,0.01.470.979 I common_memory_breakdown_print,0.01.510.910 I common_params_fit_impl,0.01.510.915 I common_fit_params,0.01.518.535 I common_params_fit_impl,0.01.518.540 I common_fit_params,0.01.520.721 I common_params_fit_impl,0.01.520.726 I common_fit_params,0.01.531.800 I common_params_fit_impl,0.01.531.805 I common_fit_params,0.01.535.059 I common_params_fit_impl,0.01.535.064 I common_fit_params,0.01.546.121 I llama_model_loader,0.01.546.122 I llama_model_loader,0.01.546.148 I llama_model_loader,0.01.546.149 I llama_model_loader,0.01.546.150 I llama_model_loader,0.01.546.158 I llama_model_loader,0.01.546.160 I llama_model_loader,0.01.546.162 I llama_model_loader,0.01.546.163 I llama_model_loader,0.01.553.463 I llama_model_loader,0.01.553.464 I llama_model_loader,0.01.553.483 I llama_model_loader,0.01.553.484 I llama_model_loader,0.01.553.489 I llama_model_loader,0.01.553.490 I llama_model_loader,0.01.553.491 I llama_model_loader,0.01.553.493 I llama_model_loader,0.01.553.494 I llama_model_loader,0.01.555.701 I llama_model_loader,0.01.555.702 I llama_model_loader,0.01.555.735 I llama_model_loader,0.01.555.737 I llama_model_loader,0.01.555.738 I llama_model_loader,0.01.555.745 I llama_model_loader,0.01.555.746 I llama_model_loader,0.01.555.748 I llama_model_loader,0.01.555.751 I llama_model_loader,0.01.555.752 I llama_model_loader,0.01.566.849 I llama_model_loader,0.01.566.850 I llama_model_loader,0.01.566.875 I llama_model_loader,0.01.566.876 I llama_model_loader,0.01.566.877 I llama_model_loader,0.01.566.884 I llama_model_loader,0.01.566.886 I llama_model_loader,0.01.566.889 I llama_model_loader,0.01.569.802 I llama_model_loader,0.01.569.803 I llama_model_loader,0.01.569.825 I llama_model_loader,0.01.569.827 I llama_model_loader,0.01.569.834 I llama_model_loader,0.01.569.835 I llama_model_loader,0.01.569.856 I llama_model_loader,0.01.569.857 I llama_model_loader,0.01.569.859 I llama_model_loader,0.01.569.860 I llama_model_loader,0.01.576.671 I llama_model_loader,0.01.576.672 I llama_model_loader,0.01.576.673 I llama_model_loader,0.01.576.676 I llama_model_loader,0.01.576.677 I llama_model_loader,0.01.576.678 I llama_model_loader,0.01.576.679 I print_info,0.01.576.680 I print_info,0.01.583.782 I llama_model_loader,0.01.583.783 I llama_model_loader,0.01.583.784 I llama_model_loader,0.01.583.787 I llama_model_loader,0.01.583.788 I llama_model_loader,0.01.583.790 I print_info,0.01.586.162 I llama_model_loader,0.01.586.163 I llama_model_loader,0.01.586.165 I print_info,0.01.597.416 I llama_model_loader,0.01.597.417 I llama_model_loader,0.01.597.418 I llama_model_loader,0.01.597.419 I llama_model_loader,0.01.597.421 I llama_model_loader,0.01.597.422 I llama_model_loader,0.01.597.423 I llama_model_loader,0.01.597.424 I print_info,0.01.600.634 I llama_model_loader,0.01.600.635 I llama_model_loader,0.01.600.636 I llama_model_loader,0.01.600.639 I llama_model_loader,0.01.600.640 I llama_model_loader,0.01.600.642 I print_info,0.01.652.799 I load,0.01.659.284 I load,0.01.661.788 I load,0.01.673.085 I load,0.01.675.082 I load,0.01.675.083 I load,0.01.675.252 I load,0.01.678.735 I load,0.01.682.454 I load,0.01.682.455 I load,0.01.682.456 I load,0.01.682.634 I load,0.01.684.284 I load,0.01.684.285 I load,0.01.684.469 I load,0.01.696.033 I load,0.01.696.034 I load,0.01.696.035 I load,0.01.696.209 I load,0.01.702.184 I load,0.01.702.185 I load,0.01.702.186 I load,0.01.702.361 I load,0.01.724.663 I load,0.01.724.684 I print_info,0.01.724.685 I print_info,0.01.724.686 I print_info,0.01.724.687 I print_info,0.01.724.695 I print_info,0.01.724.696 I print_info,0.01.724.697 I print_info,0.01.724.698 I print_info,0.01.724.699 I print_info,0.01.724.701 I print_info,0.01.724.702 I print_info,0.01.724.705 I print_info,0.01.724.707 I print_info,0.01.724.708 I print_info,0.01.724.709 I print_info,0.01.724.710 I print_info,0.01.724.711 I print_info,0.01.724.712 I print_info,0.01.724.713 I print_info,0.01.724.715 I print_info,0.01.724.716 I print_info,0.01.724.717 I print_info,0.01.724.722 I print_info,0.01.724.723 I print_info,0.01.724.724 I print_info,0.01.724.725 I print_info,0.01.724.727 I print_info,0.01.724.728 I print_info,0.01.724.729 I print_info,0.01.724.730 I print_info,0.01.731.820 I load,0.01.731.839 I print_info,0.01.731.840 I print_info,0.01.731.841 I print_info,0.01.731.849 I print_info,0.01.731.850 I print_info,0.01.731.851 I print_info,0.01.731.852 I print_info,0.01.731.853 I print_info,0.01.731.854 I print_info,0.01.731.855 I print_info,0.01.731.857 I print_info,0.01.731.858 I print_info,0.01.731.859 I print_info,0.01.731.861 I print_info,0.01.731.862 I print_info,0.01.731.863 I print_info,0.01.731.864 I print_info,0.01.731.866 I print_info,0.01.731.867 I print_info,0.01.731.868 I print_info,0.01.731.869 I print_info,0.01.731.870 I print_info,0.01.731.871 I print_info,0.01.733.246 I load,0.01.733.264 I print_info,0.01.733.265 I print_info,0.01.733.266 I print_info,0.01.733.275 I print_info,0.01.733.276 I print_info,0.01.733.277 I print_info,0.01.733.279 I print_info,0.01.733.280 I print_info,0.01.733.281 I print_info,0.01.733.282 I print_info,0.01.733.283 I print_info,0.01.733.284 I print_info,0.01.733.285 I print_info,0.01.733.286 I print_info,0.01.733.288 I print_info,0.01.733.289 I print_info,0.01.733.290 I print_info,0.01.733.291 I print_info,0.01.733.293 I print_info,0.01.733.294 I print_info,0.01.733.295 I print_info,0.01.733.296 I print_info,0.01.745.437 I load,0.01.745.458 I print_info,0.01.745.460 I print_info,0.01.745.461 I print_info,0.01.745.469 I print_info,0.01.745.470 I print_info,0.01.745.471 I print_info,0.01.745.472 I print_info,0.01.745.474 I print_info,0.01.745.475 I print_info,0.01.745.478 I print_info,0.01.745.480 I print_info,0.01.745.481 I print_info,0.01.745.483 I print_info,0.01.745.485 I print_info,0.01.745.486 I print_info,0.01.745.487 I print_info,0.01.745.488 I print_info,0.01.745.490 I print_info,0.01.745.491 I print_info,0.01.745.492 I print_info,0.01.745.493 I print_info,0.01.745.496 I print_info,0.01.745.509 I print_info,0.01.745.510 I print_info,0.01.745.511 I print_info,0.01.745.512 I print_info,0.01.745.513 I print_info,0.01.745.515 I print_info,0.01.745.516 I print_info,0.01.745.518 I print_info,0.01.745.519 I print_info,0.01.745.520 I print_info,0.01.745.521 I print_info,0.01.745.522 I print_info,0.01.745.523 I print_info,0.01.745.525 I print_info,0.01.745.526 I print_info,0.01.745.532 I print_info,0.01.751.433 I load,0.01.751.460 I print_info,0.01.751.461 I print_info,0.01.751.462 I print_info,0.01.751.463 I print_info,0.01.751.471 I print_info,0.01.751.472 I print_info,0.01.751.473 I print_info,0.01.751.474 I print_info,0.01.751.475 I print_info,0.01.751.476 I print_info,0.01.751.477 I print_info,0.01.751.478 I print_info,0.01.751.479 I print_info,0.01.751.480 I print_info,0.01.751.481 I print_info,0.01.751.482 I print_info,0.01.751.483 I print_info,0.01.751.484 I print_info,0.01.751.485 I print_info,0.01.751.486 I print_info,0.01.751.488 I print_info,0.01.751.489 I print_info,0.01.751.490 I print_info,0.01.751.491 I print_info,0.01.751.492 I print_info,0.01.751.505 I print_info,0.01.751.508 I print_info,0.01.751.509 I print_info,0.01.751.510 I print_info,0.01.751.511 I print_info,0.01.751.512 I print_info,0.01.940.281 I load,0.01.968.086 I load,0.01.968.087 I load,0.01.968.280 I load,0.02.017.673 I load,0.02.017.699 I print_info,0.02.017.700 I print_info,0.02.017.701 I print_info,0.02.017.702 I print_info,0.02.017.721 I print_info,0.02.017.723 I print_info,0.02.017.724 I print_info,0.02.017.727 I print_info,0.02.017.728 I print_info,0.02.017.730 I print_info,0.02.017.733 I print_info,0.02.017.737 I print_info,0.02.017.742 I print_info,0.02.017.745 I print_info,0.02.017.746 I print_info,0.02.017.747 I print_info,0.02.017.748 I print_info,0.02.017.749 I print_info,0.02.017.751 I print_info,0.02.017.752 I print_info,0.02.017.753 I print_info,0.02.017.754 I print_info,0.02.017.755 I print_info,0.02.017.756 I print_info,0.02.017.757 I print_info,0.02.017.763 I print_info,0.02.017.764 I print_info,0.02.017.765 I print_info,0.02.017.766 I print_info,0.02.017.767 I print_info,0.02.017.768 I print_info,0.02.017.769 I print_info,0.02.017.770 I print_info,0.02.017.771 I print_info,0.02.021.528 I load_tensors,0.02.021.533 I load_tensors,0.02.021.534 I load_tensors,0.02.021.535 I load_tensors,0.02.021.536 I load_tensors,0.02.024.555 I llama_context,0.02.024.556 I llama_context,0.02.024.561 I llama_context,0.02.024.562 I llama_context,0.02.029.503 I llama_context,0.02.029.665 I llama_kv_cache,0.02.029.674 I llama_kv_cache,0.02.029.675 I llama_kv_cache,0.02.029.676 I llama_kv_cache,0.02.029.677 I llama_kv_cache,0.02.029.684 I llama_kv_cache,0.02.030.223 I llama_memory_recurrent,0.02.030.568 I llama_memory_recurrent,0.02.030.973 I llama_memory_recurrent,0.02.031.305 I llama_memory_recurrent,0.02.031.700 I llama_memory_recurrent,0.02.032.082 I llama_memory_recurrent,0.02.032.420 I llama_memory_recurrent,0.02.032.736 I llama_memory_recurrent,0.02.143.842 I sched_reserve,0.02.143.858 I sched_reserve,0.02.143.859 I sched_reserve,0.02.143.860 I sched_reserve,0.02.143.861 I sched_reserve,0.02.143.862 I sched_reserve,0.02.143.866 I sched_reserve,0.02.144.462 I common_memory_breakdown_print,0.02.211.940 I common_params_fit_impl,0.02.211.945 I common_fit_params,0.02.247.492 I llama_model_loader,0.02.247.514 I llama_model_loader,0.02.247.516 I llama_model_loader,0.02.247.517 I llama_model_loader,0.02.247.524 I llama_model_loader,0.02.247.548 I llama_model_loader,0.02.247.551 I llama_model_loader,0.02.247.552 I llama_model_loader,0.02.278.049 I llama_model_loader,0.02.278.050 I llama_model_loader,0.02.278.051 I llama_model_loader,0.02.278.054 I llama_model_loader,0.02.278.055 I llama_model_loader,0.02.278.056 I llama_model_loader,0.02.278.058 I print_info,0.02.354.214 I load,0.02.377.163 I load,0.02.377.164 I load,0.02.377.336 I load,0.02.426.473 I load,0.02.426.496 I print_info,0.02.426.497 I print_info,0.02.426.498 I print_info,0.02.426.507 I print_info,0.02.426.508 I print_info,0.02.426.509 I print_info,0.02.426.510 I print_info,0.02.426.511 I print_info,0.02.426.512 I print_info,0.02.426.513 I print_info,0.02.426.515 I print_info,0.02.426.516 I print_info,0.02.426.517 I print_info,0.02.426.518 I print_info,0.02.426.519 I print_info,0.02.426.520 I print_info,0.02.426.521 I print_info,0.02.426.522 I print_info,0.02.426.523 I print_info,0.02.426.524 I print_info,0.02.426.525 I print_info,0.02.426.527 I print_info,0.02.426.529 I print_info,0.02.426.530 I print_info,0.02.426.531 I print_info,0.02.426.532 I print_info,0.02.426.533 I print_info,0.02.426.534 I print_info,0.02.426.535 I print_info,0.02.426.536 I print_info,0.02.426.537 I print_info,0.02.426.538 I print_info,0.1% KLD,0.1% Δp,0.13.024.914 I load_tensors,0.13.024.920 I load_tensors,0.13.024.921 I load_tensors,0.13.024.922 I load_tensors,0.13.024.923 I load_tensors,0.14.723.203 I llama_context,0.14.723.204 I llama_context,0.14.723.205 I llama_context,0.14.723.208 I llama_context,0.14.723.209 I llama_context,0.14.735.924 I llama_context,0.14.737.066 I llama_kv_cache,0.14.738.333 I llama_kv_cache,0.14.738.542 I llama_kv_cache,0.14.738.776 I llama_kv_cache,0.14.738.982 I llama_kv_cache,0.14.739.160 I llama_kv_cache,0.14.739.351 I llama_kv_cache,0.14.739.560 I llama_kv_cache,0.14.739.599 I llama_kv_cache,0.14.740.034 I llama_memory_recurrent,0.14.740.352 I llama_memory_recurrent,0.14.740.718 I llama_memory_recurrent,0.14.741.035 I llama_memory_recurrent,0.14.741.395 I llama_memory_recurrent,0.14.741.767 I llama_memory_recurrent,0.14.742.082 I llama_memory_recurrent,0.14.742.357 I llama_memory_recurrent,0.14.891.965 I sched_reserve,0.14.891.979 I sched_reserve,0.14.891.980 I sched_reserve,0.14.891.981 I sched_reserve,0.14.891.982 I sched_reserve,0.14.891.983 I sched_reserve,0.14.891.984 I sched_reserve,0.14.891.985 I sched_reserve,0.14.891.986 I sched_reserve,0.15.022.642 I system_info,0.15.058.329 I kl_divergence,0.16.147.754 I load_tensors,0.16.147.755 I load_tensors,0.16.147.760 I load_tensors,0.16.147.761 I load_tensors,0.16.147.762 I load_tensors,0.16.147.763 I load_tensors,0.18.327.226 I llama_context,0.18.327.227 I llama_context,0.18.327.231 I llama_context,0.18.327.232 I llama_context,0.18.332.504 I llama_context,0.18.334.730 I llama_kv_cache,0.18.334.953 I llama_kv_cache,0.18.335.139 I llama_kv_cache,0.18.335.342 I llama_kv_cache,0.18.335.559 I llama_kv_cache,0.18.335.733 I llama_kv_cache,0.18.335.924 I llama_kv_cache,0.18.336.106 I llama_kv_cache,0.18.336.143 I llama_kv_cache,0.18.336.144 I llama_kv_cache,0.18.336.556 I llama_memory_recurrent,0.18.336.888 I llama_memory_recurrent,0.18.337.240 I llama_memory_recurrent,0.18.337.567 I llama_memory_recurrent,0.18.337.925 I llama_memory_recurrent,0.18.338.274 I llama_memory_recurrent,0.18.338.607 I llama_memory_recurrent,0.18.338.873 I llama_memory_recurrent,0.18.485.087 I sched_reserve,0.18.485.104 I sched_reserve,0.18.485.105 I sched_reserve,0.18.485.106 I sched_reserve,0.18.485.107 I sched_reserve,0.18.485.108 I sched_reserve,0.18.485.109 I sched_reserve,0.18.485.110 I sched_reserve,0.18.628.343 I system_info,0.20.756.827 I load_tensors,0.20.756.828 I load_tensors,0.20.756.833 I load_tensors,0.20.756.834 I load_tensors,0.20.756.835 I load_tensors,0.20.756.836 I load_tensors,0.21.159.532 I kl_divergence,0.23.621.572 I llama_context,0.23.621.573 I llama_context,0.23.621.577 I llama_context,0.23.621.578 I llama_context,0.23.626.627 I llama_context,0.23.626.890 I llama_kv_cache,0.23.627.110 I llama_kv_cache,0.23.627.290 I llama_kv_cache,0.23.630.668 I llama_kv_cache,0.23.631.072 I llama_kv_cache,0.23.631.276 I llama_kv_cache,0.23.631.497 I llama_kv_cache,0.23.631.702 I llama_kv_cache,0.23.631.741 I llama_kv_cache,0.23.632.190 I llama_memory_recurrent,0.23.632.562 I llama_memory_recurrent,0.23.632.951 I llama_memory_recurrent,0.23.633.290 I llama_memory_recurrent,0.23.633.662 I llama_memory_recurrent,0.23.634.020 I llama_memory_recurrent,0.23.634.333 I llama_memory_recurrent,0.23.634.617 I llama_memory_recurrent,0.23.787.216 I sched_reserve,0.23.787.233 I sched_reserve,0.23.787.234 I sched_reserve,0.23.787.235 I sched_reserve,0.23.787.236 I sched_reserve,0.23.787.237 I sched_reserve,0.23.787.238 I sched_reserve,0.23.938.259 I system_info,0.25.111.170 I load_tensors,0.25.111.171 I load_tensors,0.25.111.176 I load_tensors,0.25.111.177 I load_tensors,0.25.111.178 I load_tensors,0.25.111.179 I load_tensors,0.26.479.760 I kl_divergence,0.28.764.865 I llama_context,0.28.764.866 I llama_context,0.28.764.870 I llama_context,0.28.764.871 I llama_context,0.28.769.885 I llama_context,0.28.773.252 I llama_kv_cache,0.28.773.627 I llama_kv_cache,0.28.773.819 I llama_kv_cache,0.28.774.042 I llama_kv_cache,0.28.774.282 I llama_kv_cache,0.28.774.491 I llama_kv_cache,0.28.774.702 I llama_kv_cache,0.28.774.911 I llama_kv_cache,0.28.774.959 I llama_kv_cache,0.28.775.430 I llama_memory_recurrent,0.28.775.742 I llama_memory_recurrent,0.28.776.097 I llama_memory_recurrent,0.28.776.428 I llama_memory_recurrent,0.28.776.789 I llama_memory_recurrent,0.28.777.149 I llama_memory_recurrent,0.28.777.458 I llama_memory_recurrent,0.28.777.727 I llama_memory_recurrent,0.28.939.108 I sched_reserve,0.28.939.142 I sched_reserve,0.28.939.143 I sched_reserve,0.28.939.144 I sched_reserve,0.28.939.145 I sched_reserve,0.28.939.146 I sched_reserve,0.28.939.147 I sched_reserve,0.28.939.148 I sched_reserve,0.29.112.959 I system_info,0.29.632.005 I load_tensors,0.29.632.006 I load_tensors,0.29.632.012 I load_tensors,0.29.632.013 I load_tensors,0.29.632.014 I load_tensors,0.29.632.015 I load_tensors,0.31.839.043 I kl_divergence,0.34.394.026 I llama_context,0.34.394.027 I llama_context,0.34.394.028 I llama_context,0.34.394.032 I llama_context,0.34.394.033 I llama_context,0.34.398.961 I llama_context,0.34.399.257 I llama_kv_cache,0.34.399.524 I llama_kv_cache,0.34.399.701 I llama_kv_cache,0.34.399.912 I llama_kv_cache,0.34.400.111 I llama_kv_cache,0.34.400.299 I llama_kv_cache,0.34.400.517 I llama_kv_cache,0.34.400.693 I llama_kv_cache,0.34.400.731 I llama_kv_cache,0.34.401.135 I llama_memory_recurrent,0.34.401.455 I llama_memory_recurrent,0.34.401.880 I llama_memory_recurrent,0.34.402.196 I llama_memory_recurrent,0.34.402.561 I llama_memory_recurrent,0.34.402.915 I llama_memory_recurrent,0.34.403.236 I llama_memory_recurrent,0.34.403.513 I llama_memory_recurrent,0.34.556.241 I sched_reserve,0.34.556.260 I sched_reserve,0.34.556.261 I sched_reserve,0.34.556.262 I sched_reserve,0.34.556.263 I sched_reserve,0.34.556.264 I sched_reserve,0.34.556.265 I sched_reserve,0.34.556.267 I sched_reserve,0.34.741.664 I system_info,0.38.861.221 I kl_divergence,0.40.751.410 I load_tensors,0.40.751.415 I load_tensors,0.40.751.416 I load_tensors,0.40.751.417 I load_tensors,0.40.751.418 I load_tensors,0.47.101.119 I llama_context,0.47.101.120 I llama_context,0.47.101.121 I llama_context,0.47.101.125 I llama_context,0.47.105.807 I llama_context,0.47.106.093 I llama_kv_cache,0.47.109.575 I llama_kv_cache,0.47.109.835 I llama_kv_cache,0.47.110.074 I llama_kv_cache,0.47.110.312 I llama_kv_cache,0.47.110.539 I llama_kv_cache,0.47.110.750 I llama_kv_cache,0.47.110.941 I llama_kv_cache,0.47.110.979 I llama_kv_cache,0.47.111.434 I llama_memory_recurrent,0.47.111.770 I llama_memory_recurrent,0.47.112.128 I llama_memory_recurrent,0.47.112.477 I llama_memory_recurrent,0.47.112.832 I llama_memory_recurrent,0.47.113.192 I llama_memory_recurrent,0.47.113.545 I llama_memory_recurrent,0.47.113.813 I llama_memory_recurrent,0.47.255.467 I sched_reserve,0.47.255.481 I sched_reserve,0.47.255.482 I sched_reserve,0.47.255.483 I sched_reserve,0.47.255.484 I sched_reserve,0.47.255.485 I sched_reserve,0.47.255.486 I sched_reserve,0.47.477.770 I system_info,0.48.075.198 I kl_divergence,1.0% KLD,1.0% Δp,1.54.644.538 I llama_perf_context_print,1.54.644.553 I llama_perf_context_print,1.54.644.824 I common_memory_breakdown_print,10.0% KLD,10.0% Δp,2.06.122.770 I llama_perf_context_print,2.06.122.774 I llama_perf_context_print,2.06.122.999 I common_memory_breakdown_print,2.09.129.918 I llama_perf_context_print,2.09.129.922 I llama_perf_context_print,2.09.130.154 I common_memory_breakdown_print,2.11.669.347 I llama_perf_context_print,2.11.669.352 I llama_perf_context_print,2.11.669.701 I common_memory_breakdown_print,2.20.476.831 I llama_perf_context_print,2.20.476.835 I llama_perf_context_print,2.20.476.836 I llama_perf_context_print,2.20.477.067 I common_memory_breakdown_print,2.28.623.805 I llama_perf_context_print,2.28.623.815 I llama_perf_context_print,2.28.624.043 I common_memory_breakdown_print,25.0% Δp,5.0% KLD,5.0% Δp,75.0% Δp,90.0% KLD,90.0% Δp,95.0% KLD,95.0% Δp,99.0% KLD,99.0% Δp,99.9% KLD,99.9% Δp,"Cor(ln(PPL(Q)), ln(PPL(base)))",Maximum KLD,Maximum Δp,Mean KLD_std,Mean PPL(Q)-PPL(base)_mean,Mean PPL(Q)-PPL(base)_std,Mean PPL(Q)/PPL(base)_mean,Mean PPL(Q)/PPL(base)_std,Mean PPL(Q)_mean,Mean PPL(Q)_std,Mean PPL(base)_mean,Mean PPL(base)_std,Mean ln(PPL(Q)/PPL(base))_mean,Mean ln(PPL(Q)/PPL(base))_std,Mean Δp_mean,Mean Δp_std,Median KLD,Median Δp,Minimum KLD,Minimum Δp,RMS Δp_mean,RMS Δp_std,Same top p_mean,Same top p_std,file_path,file_size_gib,is_self_ref,mixture
	Qwen3.5-122B-A10B-IQ2_XXS (aes_sedai),36.59312136192,2.35,0.185455,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-1.0,-1135.3249,-1335.323072,-2035.328,-2435.321024,-3035.324,-3235.321,-43.3215,-46.2,-47.4,-4289.0,-162.0,3.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0,-248044.0,-248065.0,33.0,1.7581,35.0,1.0,3072.0,49.0,32.0,2.0,0.0,256.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,0.0,0.0,40.0,262144.0,0.0,1111100.0,8192.0,0.0,122.1,124.64,248320.0,247587.0,248046.0,248044.0,198.0,248061.0,248065.0,248063.0,256.0,5050.0,0.0,20.0,60.0,70.0,512.0,1.0,10000000.0,0.0,15.16,0.0,20.0,30.0,50.0,70.0,256.0,397.5,1265.0,2331.25,3265.0,4331.25,5331.25,6265.0,7198.75,2281.0,12625.0,32625.0,62625.0,257.25,9.0,111.024,-6664090257.0,63945.771111,1.13,-1.0,-1135.3249,-1235.32262144,-1335.323072,-2035.328,-2435.321024,-3035.324,-3235.321,-42.322,-45.2,-47.4,-32404.0,-649.0,-162.0,3.0,0.0,-248046.0,-248065.0,33.0,1.7581,0.0,3072.0,49.0,2.0,0.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,256.0,-1.0,40.0,1.0,0.0,64.0,0.0,122.1,124.64,247587.0,248046.0,248044.0,248060.0,248061.0,248063.0,248065.0,248046.0,248064.0,248065.0,256.0,1.1e-05,-94.133,5050.0,409.22,13901.36,44560.64,75781.52,16.0,8192.0,1.0,10000000.0,0.0,15.16,16.0,132.0,216.0,332.0,432.0,516.0,632.0,716.0,256.0,397.5,1265.0,2331.25,3265.0,4331.25,5331.25,6265.0,7198.75,2281.0,12241.0,22241.0,42241.0,62241.0,78465.13,257.25,9.0,149.514,4.848561200112841e+50,580512819216.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,7.4e-05,-72.375,12743.79,35.0,-6664090257.0,0.001519,-16.923,,,,,,,,,,,,,,,,,-4.603,0.000462,-32.53,0.384,0.432571,4.95,0.830281,9.721,2.190221,23.964,4.533434,53.324,95.21,9.37018,94.912,0.001112,0.916934,0.01184,1.190371,0.002228,5.733499,0.035073,4.816564,0.028374,0.174265,0.001872,-4.169,0.039,0.057541,-0.3,-6.5e-05,-99.928,15.507,0.075,83.923,0.096,kld/Qwen3.5-122B-A10B/wiki-test-raw/aes_sedai/Qwen3.5-122B-A10B-IQ2_XXS.md,34.08,False,Q4_K / IQ2_XXS / IQ2_XXS / IQ2_XXS
	Qwen3.5-122B-A10B-IQ3_S (aes_sedai),49.25253746688,3.16,0.074536,,,,,,,,,,,,,,,,,,,-0.35,-1.0,-1135.3249,-1235.32262144,-1335.323072,-2035.328,-2435.321024,-3035.324,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-42.322,-44.2,-47.6,-32404.0,-6338.0,-162.0,3.0,6.0,,,,,,,,,,,,,,,,,,,,,,,,,0.0,,,,,-248044.0,-248063.0,-248065.0,33.0,,,,,,,,,,,,,,,1.7581,35.0,262144.0,3072.0,49.0,32.0,2.0,0.0,0.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,0.0,0.0,0.0,-1.0,40.0,1.0,0.0,8192.0,0.0,122.1,124.64,247587.0,248046.0,248062.0,248061.0,248044.0,248063.0,248065.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5050.0,0.0,20.0,40.0,60.0,70.0,,,,,,,,,,512.0,1.0,1.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,15.16,0.0,10.0,20.0,30.0,60.0,70.0,256.0,256.0,,,,,,,,,397.5,,1265.0,,2331.25,,,,,,3265.0,,,,4331.25,,,,,,,5331.25,,,,,,,6265.0,,,7198.75,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2281.0,12625.0,32625.0,62625.0,257.25,9.0,89.374,-8545960257.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,75826.771111,1.05,,,,,,,,,-0.35,-1.0,-1135.3249,-1235.32262144,-1335.323072,-2035.328,-2435.321024,-3035.324,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-43.3218,-46.3,-47.6,-32404.0,-348.0,-162.0,3.0,6.0,,,,,,,,,,,,,,,,,,,,,,,,0.0,,,,-248046.0,-248065.0,33.0,,,,,,,,,,,,,,,,,1.7581,35.0,0.0,3072.0,49.0,32.0,64.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,40.0,10000000.0,1.0,262144.0,0.0,4.0,0.0,124.64,11.0,248062.0,248046.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2e-06,-78.101,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48.0,5050.0,596.78,15397.55,65397.55,76755.92,8192.0,1.0,1.0,0.0,15.16,16.0,132.0,216.0,332.0,432.0,516.0,632.0,716.0,256.0,256.0,397.5,1265.0,2331.25,3265.0,4331.25,5331.25,6265.0,7198.75,2281.0,12241.0,22241.0,52241.0,78465.13,257.25,9.0,146.134,4.848561200112841e+50,,,,,,,580512819216.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2.2e-05,-43.76,,,,0.000507,-8.146,,,,17051.01,35.0,-8545960257.0,,,,,,,,,,,-2.132,0.000152,-15.315,0.448,0.159548,3.697,0.318386,7.212,0.969884,18.998,2.354145,46.727,98.18,6.44593,85.884,0.000521,0.311736,0.006016,1.064722,0.001205,5.128301,0.03053,4.816564,0.028374,0.062713,0.001132,-1.727,0.025,0.021379,-0.076,-0.000109,-97.16,9.598,0.061,89.86,0.078,kld/Qwen3.5-122B-A10B/wiki-test-raw/aes_sedai/Qwen3.5-122B-A10B-IQ3_S.md,45.87,False,Q6_K / IQ2_S / IQ2_S / IQ3_S
	Qwen3.5-122B-A10B-IQ4_XS (aes_sedai),63.10380699648001,4.05,0.027803,,,,,,,,,,-0.35,-1.0,-1135.3249,-1235.32262144,-1335.323072,-1935.32256,-2035.328,-2435.321024,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-42.322,-45.3,-47.8,-32404.0,-162.0,80.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0,,,,,,,,,,,,,,-248044.0,-248065.0,33.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7581,35.0,3072.0,49.0,32.0,0.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,0.0,0.0,1.0,40.0,10000000.0,0.0,16.0,122.1,124.64,248046.0,198.0,248062.0,248046.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5050.0,0.0,30.0,70.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,16.0,8192.0,1.0,10000000.0,0.0,,,,,,,15.16,0.0,10.0,20.0,40.0,60.0,70.0,256.0,397.5,1265.0,,2331.25,,,,,,,3265.0,,4331.25,,5331.25,,6265.0,7198.75,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2281.0,22625.0,42625.0,78849.13,257.25,9.0,96.194,-10307720257.0,,,,,,,,88866.771111,1.08,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-0.35,-1.0,-1135.3249,-1235.32262144,-1335.323072,-2035.328,-2435.321024,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,,,-42.322,-44.3,-46.4,-47.8,-32404.0,-448.0,-162.0,80.0,,,,,,,,,,0.0,,,,,,,,,,,,-248044.0,-248064.0,-248065.0,33.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7581,35.0,3072.0,49.0,32.0,64.0,256.0,16.0,512.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,40.0,10000000.0,1.0,262144.0,0.0,1111100.0,4.0,64.0,0.0,122.1,124.64,248320.0,11.0,248046.0,248044.0,248060.0,248062.0,248063.0,248044.0,248064.0,248065.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1e-06,-51.315,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48.0,5050.0,772.97,8186.2,48175.5,78004.17,,512.0,1.0,10000000.0,0.0,15.16,16.0,132.0,216.0,332.0,432.0,516.0,632.0,716.0,256.0,397.5,1265.0,2331.25,3265.0,4331.25,5331.25,6265.0,7198.75,2281.0,12241.0,32241.0,62241.0,78465.13,9.0,152.184,4.848561200112841e+50,,,,,,,580512819216.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,9e-06,-23.219,,,,0.000189,-4.376,22340.17,35.0,-10307720257.0,,,,,,,,,,,,,,-1.126,5.8e-05,-8.072,0.352,0.059023,2.515,0.11409,4.894,0.357797,13.667,0.999708,33.417,99.31,3.23626,80.2,0.000206,0.097519,0.003411,1.020246,0.000705,4.914083,0.028949,4.816564,0.028374,0.020044,0.000691,-0.722,0.015,0.008045,-0.027,-6.2e-05,-87.473,5.756,0.043,93.681,0.063,kld/Qwen3.5-122B-A10B/wiki-test-raw/aes_sedai/Qwen3.5-122B-A10B-IQ4_XS.md,58.77,False,Q8_0 / IQ3_S / IQ3_S / IQ4_XS
	Qwen3.5-122B-A10B-Q4_K_M (aes_sedai),79.41394530304,5.1,0.01042,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-0.35,-1.0,-1135.3249,-1335.323072,-2035.328,-2335.321024,-2435.321024,-3035.324,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,-44.4,-47.8,-32404.0,-162.0,3.0,80.0,,,,,,,,,,,,,,,,,,0.0,,,,,,,,,,,,,,,,-248046.0,-248065.0,33.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7581,35.0,3072.0,49.0,32.0,0.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,0.0,256.0,1.0,40.0,10000000.0,0.0,8192.0,0.0,124.64,247587.0,198.0,248065.0,248065.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5050.0,0.0,40.0,0.0,,,,,,,,,,,,,,,,,,8192.0,1.0,1.0,0.0,,,,,,,,,,,15.16,,0.0,10.0,30.0,50.0,70.0,256.0,,397.5,,1265.0,,2331.25,,,3265.0,4331.25,5331.25,6265.0,7198.75,,,,,,,,,,,,,,,,,2281.0,12625.0,32625.0,62625.0,257.25,9.0,89.434,-10307720257.0,,,,,,,,,,,,,,,,,,,104418.771111,1.05,,,,,,,,,,,,,,,,-0.35,-1.0,-1235.32262144,-1335.323072,-1935.32256,-2035.328,-2435.321024,-3035.324,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-42.322,-45.4,-47.8,-32404.0,-162.0,80.0,,,,,,,,,,,,,,,,,,,0.0,,,,,,,-248044.0,-248046.0,-248065.0,33.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7581,35.0,3072.0,49.0,32.0,64.0,256.0,16.0,512.0,512.0,0.0,0.0,256.0,40.0,262144.0,8192.0,0.0,124.64,247587.0,11.0,248044.0,248063.0,248046.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-6e-06,-27.363,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48.0,5050.0,772.97,10454.2,38948.52,79300.17,,8192.0,1.0,1.0,0.0,15.16,16.0,132.0,216.0,332.0,432.0,516.0,632.0,716.0,256.0,397.5,1265.0,2331.25,3265.0,4331.25,5331.25,6265.0,7198.75,2281.0,12241.0,32241.0,62241.0,78465.13,257.25,9.0,161.324,4.848561200112841e+50,,,,,,,580512819216.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2e-06,-11.781,,,,6.8e-05,-2.285,,,,,,,27528.47,35.0,-10307720257.0,,,,,,,,-0.512,2e-05,-4.202,0.364,0.022023,1.972,0.042567,3.656,0.129878,9.954,0.369891,25.285,99.75,1.637368,65.331,7.8e-05,0.013406,0.002024,1.002783,0.00042,4.82997,0.028461,4.816564,0.028374,0.00278,0.000419,-0.124,0.009,0.003117,-0.002,-0.000173,-59.589,3.413,0.027,95.895,0.052,kld/Qwen3.5-122B-A10B/wiki-test-raw/aes_sedai/Qwen3.5-122B-A10B-Q4_K_M.md,73.96,False,Q8_0 / Q4_K / Q4_K / Q5_K
	Qwen3.5-122B-A10B-Q5_K_M (aes_sedai),94.21010763776,6.05,0.005549,,,,,,,,,,,,,,,,,,,,,,,,,,,,-0.35,-1.0,-1135.3249,-1235.32262144,-1335.323072,-1935.32256,-2035.328,-2435.321024,-3035.324,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-44.5,-47.8,-648.0,-162.0,80.0,,,,,,,,,,,,,,,,,,,,,,0.0,,,,,,,,,,,-248044.0,-248063.0,-248065.0,33.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7581,35.0,262144.0,3072.0,49.0,32.0,2.0,0.0,0.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,8.0,0.0,1.0,40.0,10000000.0,1.0,262144.0,0.0,8192.0,0.0,122.1,124.64,247587.0,11.0,248046.0,198.0,248061.0,248065.0,248046.0,248065.0,256.0,,,,,,,,,,,,5050.0,20.0,50.0,0.0,,,,,,,,,8192.0,1.0,1.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,15.16,,,0.0,10.0,20.0,50.0,70.0,256.0,,,397.5,,,,,,,1265.0,,,2331.25,,3265.0,4331.25,5331.25,,,,,,6265.0,7198.75,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2281.0,12625.0,32625.0,62625.0,257.25,9.0,102.484,,,,,,,,,-10307720257.0,,,,,,,,,118530.771111,1.07,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-0.35,-1.0,-1135.3249,-1335.323072,-1935.32256,-2035.328,-2335.321024,-2435.321024,-3035.324,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,-44.5,-46.6,-47.8,-80348.0,-162.0,80.0,,,,,,,,0.0,,,,,,,,,,,,-248044.0,-248063.0,-248065.0,33.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7581,35.0,0.0,3072.0,49.0,32.0,64.0,256.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,256.0,-1.0,40.0,10000000.0,262144.0,0.0,8192.0,64.0,16.0,0.0,122.1,124.64,11.0,198.0,248064.0,248063.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-5e-06,-20.01,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48.0,5050.0,12512.2,210723.21,610712.52,710476.17,,16.0,8192.0,1.0,10000000.0,0.0,15.16,16.0,132.0,216.0,332.0,432.0,516.0,632.0,716.0,256.0,397.5,1265.0,2331.25,3265.0,4331.25,5331.25,6265.0,7198.75,2281.0,12241.0,32241.0,62241.0,78465.13,257.25,9.0,152.654,4.848561200112841e+50,580512819216.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1e-06,-8.115,,,,3.7e-05,-1.684,,,,,,,,,,33138.7,105735.43296961,35.0,-10307720257.0,,,,-0.36,1.1e-05,-3.022,0.304,0.011778,1.546,0.0218,2.788,0.066673,7.403,0.199963,18.623,99.86,1.031105,53.145,4.2e-05,0.007133,0.001497,1.001481,0.000311,4.823697,0.028442,4.816564,0.028374,0.00148,0.00031,-0.054,0.006,0.001773,-0.001,-0.000102,-56.04,2.481,0.02,96.836,0.046,kld/Qwen3.5-122B-A10B/wiki-test-raw/aes_sedai/Qwen3.5-122B-A10B-Q5_K_M.md,87.74,False,Q8_0 / Q5_K / Q5_K / Q6_K
	Qwen3.5-122B-A10B-Q8_0 (aes_sedai),132.54269075456,8.51,0.003675,-0.35,-1.0,-1135.3249,-1235.32262144,-1335.323072,-2035.328,-2335.321024,-2435.321024,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-43.327,-32368.0,-162.0,3.0,80.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,0.0,,,,,,,,-248044.0,-248064.0,-248065.0,33.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7581,35.0,262144.0,3072.0,49.0,32.0,64.0,0.0,256.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,1.0,40.0,1.0,1111100.0,0.0,122.1,124.64,248320.0,248046.0,248061.0,248044.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,48.0,5050.0,0.0,50.0,0.0,,,,,,,,,16.0,1.0,10000000.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,15.16,0.0,10.0,30.0,50.0,70.0,256.0,256.0,,397.5,,1265.0,,,,,,,,2331.25,,3265.0,,,,,,,,,4331.25,,,,,,,5331.25,,,6265.0,,7198.75,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,2281.0,22625.0,42625.0,78849.13,4580.0,9.0,92.464,-10307720257.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,155087.771111,1.08,,,,,,,,,,,,,,,,,,,,,,,-0.35,-1.0,-1135.3249,-1235.32262144,-1335.323072,-1935.32256,-2035.328,-2435.321024,-3035.324,-3235.321,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-43.327,-162.0,80.0,,,,,,,,,,,,,,,,,0.0,,,,,,,,,,-248044.0,-248065.0,33.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,1.7581,35.0,0.0,49.0,2.0,256.0,16.0,512.0,512.0,0.0,0.0,0.0,0.0,8.0,40.0,0.0,128.0,122.1,124.64,248046.0,248063.0,248064.0,256.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-7e-06,-15.176,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,5050.0,772.97,17842.89,315282.31,713522.51,16.0,8192.0,1.0,0.0,15.16,16.0,132.0,216.0,332.0,432.0,516.0,632.0,716.0,256.0,397.5,1265.0,2331.25,3265.0,4331.25,5331.25,6265.0,7198.75,2281.0,22241.0,42241.0,62241.0,257.25,9.0,141.564,4.848561200112841e+50,580512819216.0,0.0,-6.123,,,,2.5e-05,-1.387,,,,,,,,,,,,,,45890.92,35.0,-10307720257.0,-0.298,7e-06,-2.421,0.252,0.007646,1.305,0.013972,2.328,0.042699,6.029,0.138096,14.64,99.91,1.985064,51.205,3.4e-05,0.000638,0.001232,1.000132,0.000256,4.817202,0.028383,4.816564,0.028374,0.000132,0.000256,-0.026,0.005,0.001207,-0.001,-0.000105,-43.293,1.981,0.018,97.328,0.042,kld/Qwen3.5-122B-A10B/wiki-test-raw/aes_sedai/Qwen3.5-122B-A10B-Q8_0.md,123.44,False,