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mlx-community
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dolphin-2.9.1-yi-9b-2bit

MLX
Safetensors
llama
Generated from Trainer
Model card Files Community
1
3thn commited on
Commit
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1 Parent(s): 2383f5d

44a685af2edff470a089a7e03a84ee78ec1266b72e71d865fd0d6205d32f3087

Browse files
Files changed (7) hide show
  1. README.md +26 -0
  2. config.json +32 -0
  3. model.safetensors.index.json +1118 -0
  4. special_tokens_map.json +30 -0
  5. tokenizer.json +0 -0
  6. tokenizer.model +3 -0
  7. tokenizer_config.json +60 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ - mlx
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+ base_model: 01-ai/Yi-1.5-9B
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+ model-index:
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+ - name: out-yi
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+ results: []
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+ ---
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+
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+ # mlx-community/dolphin-2.9.1-yi-9b-2bit
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+ This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9.1-yi-9b`]() using mlx-lm version **0.12.1**.
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+ Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-yi-9b) for more details on the model.
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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/dolphin-2.9.1-yi-9b-2bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
config.json ADDED
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+ {
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 7,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 12000,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 48,
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+ "num_key_value_heads": 4,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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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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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 5000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.40.2",
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+ "use_cache": false,
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+ "vocab_size": 64000
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+ }
model.safetensors.index.json ADDED
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