MLX
Safetensors
mixtral
trl
orpo
Generated from Trainer
versae commited on
Commit
fadb96c
1 Parent(s): 80d455f

15481f468c491ff751a936df3cde2317481003ce2d785c2c7be588054d0c2cd3

Browse files
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - trl
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+ - orpo
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+ - generated_from_trainer
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+ - mlx
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+ base_model: mistral-community/Mixtral-8x22B-v0.1
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+ datasets:
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+ - argilla/distilabel-capybara-dpo-7k-binarized
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+ inference:
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+ parameters:
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+ temperature: 0.7
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+ model-index:
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+ - name: zephyr-orpo-141b-A35b-v0.1
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+ results: []
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+ ---
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+
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+ # mlx-community/zephyr-orpo-141b-A35b-v0.1-8bit
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+ This model was converted to MLX format from [`HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1`]() using mlx-lm version **0.9.0**.
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+ Refer to the [original model card](https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1) 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/zephyr-orpo-141b-A35b-v0.1-8bit")
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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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+ "add_cross_attention": false,
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+ "MixtralForCausalLM"
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+ ],
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+ "hidden_act": "silu",
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+ "id2label": {
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+ "num_attention_heads": 48,
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+ "num_beam_groups": 1,
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+ "num_beams": 1,
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+ "num_experts_per_tok": 2,
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+ "torch_dtype": "bfloat16",
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+ "torchscript": false,
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+ "transformers_version": "4.39.3",
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+ "typical_p": 1.0,
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+ "use_bfloat16": false,
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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model.safetensors.index.json ADDED
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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