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README.md ADDED
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+ ---
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+ license: other
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+ tags:
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+ - generated_from_trainer
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+ - axolotl
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+ - mlx
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+ base_model: Qwen/Qwen2-72B
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+ datasets:
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+ - cognitivecomputations/Dolphin-2.9
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+ - teknium/OpenHermes-2.5
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+ - m-a-p/CodeFeedback-Filtered-Instruction
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+ - cognitivecomputations/dolphin-coder
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+ - cognitivecomputations/samantha-data
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+ - microsoft/orca-math-word-problems-200k
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+ - Locutusque/function-calling-chatml
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+ - internlm/Agent-FLAN
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+ license_name: tongyi-qianwen
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+ license_link: https://huggingface.co/Qwen/Qwen1.5-110B/blob/main/LICENSE
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+ ---
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+
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+ # mlx-community/dolphin-2.9.2-qwen2-72b-2bit
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+ This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9.2-qwen2-72b`]() using mlx-lm version **0.12.1**.
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+ Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-72b) 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-2.9.2-qwen2-72b-2bit")
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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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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "eos_token_id": 151645,
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+ "hidden_act": "silu",
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+ "hidden_size": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 29568,
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+ "max_position_embeddings": 131072,
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+ "max_window_layers": 28,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 80,
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+ "num_key_value_heads": 8,
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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-05,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 4096,
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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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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
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+ "bos_token": null,
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+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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