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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - mlx
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+ ---
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+
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+ # mlx-community/Yi-1.5-34B-Chat-4bit
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+
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+ The Model [mlx-community/Yi-1.5-34B-Chat-4bit](https://huggingface.co/mlx-community/Yi-1.5-34B-Chat-4bit) was converted to MLX format from [01-ai/Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat) using mlx-lm version **0.13.0**.
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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/Yi-1.5-34B-Chat-4bit")
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+ response = generate(model, tokenizer, prompt="hello", verbose=True)
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+ ```
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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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+ "intermediate_size": 20480,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_key_value_heads": 8,
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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": 4
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.40.0",
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+ "use_cache": false,
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+ "vocab_size": 64000
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+ }
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+ "bos_token": "<|startoftext|>",
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+ "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\\n' + content + '<|im_end|>\\n<|im_start|>assistant\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\\n' }}{% endif %}{% endfor %}",
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+ }