Instructions to use mradermacher/BigWeave-v25-95b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/BigWeave-v25-95b-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/BigWeave-v25-95b-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/BigWeave-v25-95b-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 mradermacher/BigWeave-v25-95b-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf mradermacher/BigWeave-v25-95b-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/BigWeave-v25-95b-GGUF:Q2_K
# Run inference directly in the terminal:
llama cli -hf mradermacher/BigWeave-v25-95b-GGUF:Q2_K

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 mradermacher/BigWeave-v25-95b-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/BigWeave-v25-95b-GGUF:Q2_K

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 mradermacher/BigWeave-v25-95b-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/BigWeave-v25-95b-GGUF:Q2_K

Use Docker

docker model run hf.co/mradermacher/BigWeave-v25-95b-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use mradermacher/BigWeave-v25-95b-GGUF with Ollama:
```
ollama run hf.co/mradermacher/BigWeave-v25-95b-GGUF:Q2_K
```

Unsloth Studio

How to use mradermacher/BigWeave-v25-95b-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 mradermacher/BigWeave-v25-95b-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 mradermacher/BigWeave-v25-95b-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/BigWeave-v25-95b-GGUF to start chatting

Docker Model Runner
How to use mradermacher/BigWeave-v25-95b-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/BigWeave-v25-95b-GGUF:Q2_K
```

Lemonade

How to use mradermacher/BigWeave-v25-95b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/BigWeave-v25-95b-GGUF:Q2_K

Run and chat with the model

lemonade run user.BigWeave-v25-95b-GGUF-Q2_K

List all available models

lemonade list

Atomic Chat

mradermacher commited on Nov 25, 2024

Commit

33e1b55

verified ·

1 Parent(s): eb94655

auto-patch README.md

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README.md +1 -0

README.md CHANGED Viewed

@@ -40,6 +40,7 @@ more details, including on how to concatenate multi-part files.
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q4_K_S.gguf.part2of2) | Q4_K_S | 53.8 | fast, recommended |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q4_K_M.gguf.part2of2) | Q4_K_M | 56.8 | fast, recommended |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q5_K_S.gguf.part2of2) | Q5_K_S | 65.2 |  |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q6_K.gguf.part2of2) | Q6_K | 77.7 | very good quality |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q8_0.gguf.part3of3) | Q8_0 | 100.7 | fast, best quality |

 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q4_K_S.gguf.part2of2) | Q4_K_S | 53.8 | fast, recommended |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q4_K_M.gguf.part2of2) | Q4_K_M | 56.8 | fast, recommended |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q5_K_S.gguf.part2of2) | Q5_K_S | 65.2 |  |
+| [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q5_K_M.gguf.part2of2) | Q5_K_M | 67.0 |  |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q6_K.gguf.part2of2) | Q6_K | 77.7 | very good quality |
 | [PART 1](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/BigWeave-v25-95b-GGUF/resolve/main/BigWeave-v25-95b.Q8_0.gguf.part3of3) | Q8_0 | 100.7 | fast, best quality |