eaddario/imatrix-calibration
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How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF # Run inference directly in the terminal: llama cli -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF # Run inference directly in the terminal: llama cli -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
# 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 ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF # Run inference directly in the terminal: ./llama-cli -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
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 ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
docker model run hf.co/ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Describe this image in one sentence."
},
{
"type": "image_url",
"image_url": {
"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
}
}
]
}
]
}'docker model run hf.co/ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with Ollama:
ollama run hf.co/ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with Unsloth Studio:
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 ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF to start chatting
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 ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF to start chatting
How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with Pi:
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
# 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": "ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF"
}
]
}
}
}# Start Pi in your project directory: pi
How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with Hermes Agent:
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
# 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 ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
hermes
How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with OpenClaw:
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
# 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 "ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
openclaw agent --local --agent main --message "Hello from Hugging Face"
How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with Docker Model Runner:
docker model run hf.co/ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
How to use ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ENOSYS/Qwen3.5-0.8B-heretic-250-v1-GGUF
lemonade run user.Qwen3.5-0.8B-heretic-250-v1-GGUF-{{QUANT_TAG}}lemonade list
Many thanks to Ed Addario for an impressive job.
| BPW | PPL correlation | PPL mean ratio | ΔPPL | Mean KLD | Maximum KLD | 99.9% KLD | Mean Δp | RMS Δp |
|---|---|---|---|---|---|---|---|---|
| 5.00 | 99.29% | 1.059526 ± 0.001643 | 1.756728 ± 0.051467 | 0.058415 ± 0.000403 | 4.997534 | 1.319774 | -1.158 ± 0.023 % | 5.922 ± 0.069 % |
| 5.25 | 99.45% | 1.046483 ± 0.001431 | 1.371810 ± 0.044801 | 0.045465 ± 0.000307 | 8.604090 | 0.824039 | -0.816 ± 0.020 % | 5.073 ± 0.058 % |
| 5.30 | 99.48% | 1.050294 ± 0.001394 | 1.484259 ± 0.045502 | 0.042079 ± 0.000276 | 4.073319 | 0.865040 | -0.599 ± 0.019 % | 4.851 ± 0.055 % |
| 5.50 | 99.69% | 1.031403 ± 0.001050 | 0.926770 ± 0.033149 | 0.025594 ± 0.000166 | 2.991449 | 0.464138 | -0.443 ± 0.015 % | 3.851 ± 0.043 % |
| 5.75 | 99.76% | 1.029774 ± 0.000931 | 0.878684 ± 0.029887 | 0.020243 ± 0.000123 | 1.438466 | 0.375554 | -0.376 ± 0.014 % | 3.398 ± 0.037 % |
| 5.80 | 99.76% | 1.028585 ± 0.000921 | 0.843599 ± 0.029546 | 0.019801 ± 0.000114 | 1.265909 | 0.345507 | -0.351 ± 0.013 % | 3.350 ± 0.035 % |
| 6.00 | 99.77% | 1.027145 ± 0.000907 | 0.801091 ± 0.028947 | 0.018648 ± 0.000133 | 2.043392 | 0.375141 | -0.285 ± 0.013 % | 3.258 ± 0.041 % |
| 6.25 | 99.82% | 1.024318 ± 0.000804 | 0.717663 ± 0.025706 | 0.014839 ± 0.000099 | 1.785646 | 0.298516 | -0.284 ± 0.011 % | 2.874 ± 0.036 % |
| 6.30 | 99.82% | 1.023706 ± 0.000792 | 0.699616 ± 0.025285 | 0.014302 ± 0.000095 | 1.709756 | 0.276922 | -0.259 ± 0.011 % | 2.805 ± 0.035 % |
| 6.50 | 99.89% | 1.016242 ± 0.000610 | 0.479325 ± 0.019372 | 0.008103 ± 0.000062 | 1.610427 | 0.162712 | -0.127 ± 0.009 % | 2.133 ± 0.029 % |
| 6.75 | 99.92% | 1.013618 ± 0.000516 | 0.401886 ± 0.016359 | 0.005670 ± 0.000041 | 1.083693 | 0.092621 | -0.094 ± 0.007 % | 1.774 ± 0.023 % |
| 6.80 | 99.93% | 1.012755 ± 0.000512 | 0.376414 ± 0.016089 | 0.005588 ± 0.000041 | 1.147180 | 0.094581 | -0.095 ± 0.007 % | 1.770 ± 0.023 % |
| 7.00 | 99.93% | 1.011247 ± 0.000477 | 0.331926 ± 0.014920 | 0.004759 ± 0.000029 | 0.523031 | 0.078734 | -0.061 ± 0.007 % | 1.635 ± 0.018 % |
| 7.25 | 99.94% | 1.008928 ± 0.000447 | 0.263474 ± 0.013783 | 0.004105 ± 0.000026 | 0.582664 | 0.065920 | -0.055 ± 0.006 % | 1.515 ± 0.020 % |
| 7.30 | 99.94% | 1.008643 ± 0.000448 | 0.255083 ± 0.013766 | 0.004053 ± 0.000027 | 0.765216 | 0.060921 | -0.062 ± 0.006 % | 1.500 ± 0.022 % |
| 7.50 | 99.94% | 1.010851 ± 0.000454 | 0.320225 ± 0.014246 | 0.004111 ± 0.000026 | 0.404290 | 0.067985 | -0.076 ± 0.006 % | 1.461 ± 0.017 % |
| 7.75 | 99.95% | 1.008024 ± 0.000422 | 0.236818 ± 0.012907 | 0.003528 ± 0.000022 | 0.408612 | 0.063072 | -0.082 ± 0.005 % | 1.355 ± 0.017 % |
| 7.80 | 99.95% | 1.008085 ± 0.000419 | 0.238604 ± 0.012823 | 0.003465 ± 0.000023 | 0.528191 | 0.062764 | -0.087 ± 0.005 % | 1.353 ± 0.021 % |
| 8.00 | 99.96% | 1.005559 ± 0.000390 | 0.164064 ± 0.011777 | 0.002856 ± 0.000016 | 0.220663 | 0.044699 | -0.052 ± 0.005 % | 1.206 ± 0.014 % |
| 8.25 | 99.96% | 1.004695 ± 0.000363 | 0.138546 ± 0.010916 | 0.002411 ± 0.000016 | 0.373060 | 0.040841 | -0.052 ± 0.004 % | 1.109 ± 0.013 % |
| 8.30 | 99.96% | 1.003806 ± 0.000350 | 0.112314 ± 0.010490 | 0.002171 ± 0.000015 | 0.265114 | 0.039519 | -0.050 ± 0.004 % | 1.068 ± 0.015 % |
| 8.50 | 99.97% | 1.002709 ± 0.000320 | 0.079948 ± 0.009532 | 0.001665 ± 0.000012 | 0.213020 | 0.031954 | -0.047 ± 0.004 % | 0.949 ± 0.014 % |
| 8.75 | 99.98% | 1.002058 ± 0.000278 | 0.060726 ± 0.008256 | 0.001066 ± 0.000006 | 0.129191 | 0.015715 | -0.026 ± 0.003 % | 0.759 ± 0.008 % |
| 8.80 | 99.98% | 1.001981 ± 0.000279 | 0.058457 ± 0.008289 | 0.001061 ± 0.000006 | 0.084854 | 0.016091 | -0.024 ± 0.003 % | 0.757 ± 0.008 % |
| 9.00 | 99.98% | 1.001800 ± 0.000278 | 0.053131 ± 0.008258 | 0.001039 ± 0.000006 | 0.098692 | 0.014809 | -0.016 ± 0.003 % | 0.748 ± 0.008 % |
| 9.25 | 99.98% | 1.002021 ± 0.000273 | 0.059643 ± 0.008124 | 0.001001 ± 0.000005 | 0.113834 | 0.013527 | -0.017 ± 0.003 % | 0.729 ± 0.007 % |
| 9.30 | 99.98% | 1.001910 ± 0.000272 | 0.056366 ± 0.008083 | 0.000991 ± 0.000005 | 0.065356 | 0.013138 | -0.020 ± 0.003 % | 0.723 ± 0.007 % |
| 9.50 | 99.98% | 1.001854 ± 0.000270 | 0.054706 ± 0.008044 | 0.000972 ± 0.000005 | 0.079184 | 0.013451 | -0.015 ± 0.003 % | 0.712 ± 0.007 % |
| 9.75 | 99.98% | 1.001944 ± 0.000265 | 0.057374 ± 0.007900 | 0.000890 ± 0.000005 | 0.050911 | 0.012873 | -0.008 ± 0.003 % | 0.682 ± 0.007 % |
| 9.80 | 99.98% | 1.001689 ± 0.000266 | 0.049859 ± 0.007921 | 0.000893 ± 0.000005 | 0.102190 | 0.012910 | -0.005 ± 0.003 % | 0.690 ± 0.008 % |
| 10.00 | 99.98% | 1.001807 ± 0.000263 | 0.053316 ± 0.007831 | 0.000857 ± 0.000005 | 0.090375 | 0.011359 | -0.008 ± 0.003 % | 0.667 ± 0.007 % |
| 10.25 | 99.98% | 1.001932 ± 0.000260 | 0.057012 ± 0.007755 | 0.000826 ± 0.000004 | 0.057231 | 0.011596 | -0.008 ± 0.003 % | 0.658 ± 0.007 % |
| 10.30 | 99.98% | 1.001970 ± 0.000260 | 0.058130 ± 0.007752 | 0.000809 ± 0.000004 | 0.095869 | 0.010581 | -0.004 ± 0.003 % | 0.649 ± 0.006 % |
| 10.50 | 99.98% | 1.001825 ± 0.000257 | 0.053865 ± 0.007652 | 0.000778 ± 0.000004 | 0.089146 | 0.010600 | -0.008 ± 0.003 % | 0.640 ± 0.006 % |
| 10.75 | 99.98% | 1.001755 ± 0.000253 | 0.051794 ± 0.007546 | 0.000735 ± 0.000004 | 0.082066 | 0.009425 | -0.010 ± 0.003 % | 0.625 ± 0.007 % |
| 10.80 | 99.98% | 1.001747 ± 0.000253 | 0.051550 ± 0.007534 | 0.000742 ± 0.000004 | 0.114091 | 0.009784 | -0.008 ± 0.003 % | 0.627 ± 0.007 % |
| 11.00 | 99.98% | 1.001871 ± 0.000254 | 0.055222 ± 0.007565 | 0.000734 ± 0.000006 | 0.309870 | 0.009875 | -0.007 ± 0.003 % | 0.627 ± 0.010 % |
| 11.25 | 99.98% | 1.001985 ± 0.000251 | 0.058592 ± 0.007481 | 0.000706 ± 0.000004 | 0.054151 | 0.009861 | -0.007 ± 0.002 % | 0.611 ± 0.006 % |
| 11.30 | 99.98% | 1.001820 ± 0.000251 | 0.053715 ± 0.007489 | 0.000697 ± 0.000004 | 0.094932 | 0.009620 | -0.007 ± 0.002 % | 0.610 ± 0.008 % |
| 11.50 | 99.98% | 1.001698 ± 0.000249 | 0.050126 ± 0.007425 | 0.000681 ± 0.000003 | 0.055867 | 0.009582 | -0.008 ± 0.002 % | 0.601 ± 0.006 % |
| 11.75 | 99.98% | 1.001800 ± 0.000248 | 0.053135 ± 0.007380 | 0.000655 ± 0.000003 | 0.061040 | 0.008505 | -0.005 ± 0.002 % | 0.592 ± 0.007 % |
| 11.80 | 99.98% | 1.001737 ± 0.000248 | 0.051273 ± 0.007370 | 0.000663 ± 0.000003 | 0.055573 | 0.009097 | -0.008 ± 0.002 % | 0.591 ± 0.006 % |
We're not able to determine the quantization variants.
Base model
Qwen/Qwen3.5-0.8B-Base