Instructions to use mradermacher/command-r-35b-writer-v3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/command-r-35b-writer-v3-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/command-r-35b-writer-v3-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/command-r-35b-writer-v3-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/command-r-35b-writer-v3-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/command-r-35b-writer-v3-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 mradermacher/command-r-35b-writer-v3-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/command-r-35b-writer-v3-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 mradermacher/command-r-35b-writer-v3-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/command-r-35b-writer-v3-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 mradermacher/command-r-35b-writer-v3-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/command-r-35b-writer-v3-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/command-r-35b-writer-v3-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/command-r-35b-writer-v3-GGUF with Ollama:
ollama run hf.co/mradermacher/command-r-35b-writer-v3-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/command-r-35b-writer-v3-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/command-r-35b-writer-v3-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/command-r-35b-writer-v3-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/command-r-35b-writer-v3-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.command-r-35b-writer-v3-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
base_model: jukofyork/command-r-35b-writer-v3
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About
static quants of https://huggingface.co/jukofyork/command-r-35b-writer-v3
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | Q2_K | 13.9 | |
| GGUF | Q3_K_S | 16.0 | |
| GGUF | Q3_K_M | 17.7 | lower quality |
| GGUF | Q3_K_L | 19.2 | |
| GGUF | Q4_K_S | 20.5 | fast, recommended |
| GGUF | Q6_K | 28.8 | very good quality |
| GGUF | Q8_0 | 37.3 | fast, best quality |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):
And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.
