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Mamba-Codestral-7B-v0.1-2bit

MLX
Safetensors
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- 391792e69681c7c419dab825f57e3a90f93276d1f61bb2fa9cb2161f2c44ccba (db2c7528ec4cab891b23f5f06fdec01e8917ae4a)
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Files changed (8) hide show
  1. README.md +34 -0
  2. config.json +51 -0
  3. model.safetensors +3 -0
  4. model.safetensors.index.json +846 -0
  5. special_tokens_map.json +23 -0
  6. tokenizer.json +0 -0
  7. tokenizer.model +3 -0
  8. tokenizer_config.json +0 -0
README.md ADDED
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+ ---
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+ base_model: mistralai/Mamba-Codestral-7B-v0.1
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+ license: apache-2.0
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+ tags:
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+ - mlx
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+ extra_gated_description: If you want to learn more about how we process your personal
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+ data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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+ ---
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+
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+ # mlx-community/Mamba-Codestral-7B-v0.1-2bits
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+
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+ The Model [mlx-community/Mamba-Codestral-7B-v0.1-2bits](https://huggingface.co/mlx-community/Mamba-Codestral-7B-v0.1-2bits) was converted to MLX format from [mistralai/Mamba-Codestral-7B-v0.1](https://huggingface.co/mistralai/Mamba-Codestral-7B-v0.1) using mlx-lm version **0.18.2**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/Mamba-Codestral-7B-v0.1-2bits")
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+
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+ prompt="hello"
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+
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+ if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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+ messages = [{"role": "user", "content": prompt}]
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+ prompt = tokenizer.apply_chat_template(
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+ messages, tokenize=False, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
config.json ADDED
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+ {
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+ "architectures": [
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+ "Mamba2ForCausalLM"
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+ ],
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+ "bos_token_id": 0,
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+ "chunk_size": 256,
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+ "conv_kernel": 4,
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+ "eos_token_id": 0,
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+ "expand": 2,
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+ "head_dim": 64,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.1,
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+ "intermediate_size": 8192,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "mamba2",
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+ "n_groups": 8,
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+ "norm_before_gate": true,
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+ "num_heads": 128,
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+ "num_hidden_layers": 64,
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+ "pad_token_id": 0,
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 2
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+ },
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+ "quantization_config": {
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+ "group_size": 64,
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+ "bits": 2
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+ },
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+ "rescale_prenorm_residual": false,
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+ "residual_in_fp32": true,
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+ "rms_norm": true,
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+ "state_size": 128,
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+ "tie_word_embeddings": false,
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+ "time_step_floor": 0.0001,
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+ "time_step_init_scheme": "random",
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+ "time_step_limit": [
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+ 0.0,
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+ Infinity
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+ ],
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+ "time_step_max": 0.1,
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+ "time_step_min": 0.001,
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+ "time_step_rank": 256,
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+ "time_step_scale": 1.0,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.44.0.dev0",
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+ "use_bias": false,
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+ "use_cache": true,
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+ "use_conv_bias": true,
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+ "vocab_size": 32768
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+ }
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+ oid sha256:a73434246fda170778d67c7e01f416868e2a6c8518bb0e5e0b4670f0a8666fe2
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+ size 2283685753
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