Feature Extraction
MLX
Safetensors
English
qwen3
apple-silicon
embeddings
contrastive-learning
verifier
reranker
agents
clm
bf16
Instructions to use czl/CLM-v0.1-8B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use czl/CLM-v0.1-8B-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download czl/CLM-v0.1-8B-MLX --local-dir CLM-v0.1-8B-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download clm_mlx.json from czl/CLM-v0.1-8B-MLX: direct link, hf CLI and curl.
- Browser
- Download file 804 Bytes
-
https://huggingface.co/czl/CLM-v0.1-8B-MLX/resolve/main/clm_mlx.json
- Command line
-
hf download hf://czl/CLM-v0.1-8B-MLX/clm_mlx.json
-
curl -L -o clm_mlx.json https://huggingface.co/czl/CLM-v0.1-8B-MLX/resolve/main/clm_mlx.json
804 Bytes
| { | |
| "base_model": "Qwen/Qwen3-8B", | |
| "encoder_pooling": "last-token", | |
| "embedding_dim": 4096, | |
| "embedding_normalisation": "l2, applied client-side by clm.Embedder", | |
| "max_context_tokens": 2048, | |
| "truncation": "head (first N tokens), matching the vLLM serving path", | |
| "logit_scale": 100.0, | |
| "logit_scale_note": "exp(clm cfg logit_scale) = 100.81, clamped to 100.0 by HeadPair._load (heads.py:95). The head amplifies cosine error 100x.", | |
| "heads_repo": "Contrastive-LM/CLM-v0.1-8B", | |
| "heads_file": "CLM_v0.1-8B.pt", | |
| "note": "The projection heads are NOT quantised and are NOT re-shipped here. They live in the parent repo and clm-serve fetches them into ~/.cache/clm/.", | |
| "package": "clm_mlx", | |
| "mlx_lm_version": "0.31.3", | |
| "entrypoint": "python -m clm_mlx.server --model <dir> --port 8092" | |
| } | |