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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - mlx
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+ datasets:
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+ - cerebras/SlimPajama-627B
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+ - bigcode/starcoderdata
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+ - HuggingFaceH4/ultrachat_200k
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+ - HuggingFaceH4/ultrafeedback_binarized
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+ widget:
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+ - text: '<|system|>
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+
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+ You are a chatbot who can help code!</s>
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+
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+ <|user|>
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+
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+ Write me a function to calculate the first 10 digits of the fibonacci sequence
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+ in Python and print it out to the CLI.</s>
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+
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+ <|assistant|>
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+
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+ '
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+ ---
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+
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+ # TinyLlama-1.1B-Chat-v1.0-mlx
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+ This model was converted to MLX format from [`TinyLlama/TinyLlama-1.1B-Chat-v1.0`]().
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+ Refer to the [original model card](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) for more details on the model.
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+ ## Use with mlx
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+ ```bash
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+ pip install mlx
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+ git clone https://github.com/ml-explore/mlx-examples.git
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+ cd mlx-examples/llms/hf_llm
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+ python generate.py --model mlx-community/TinyLlama-1.1B-Chat-v1.0-mlx --prompt "My name is"
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+ ```
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+ "num_key_value_heads": 4,
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "rms_norm_eps": 1e-05,
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+ "pretraining_tp": 1,
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+ "use_cache": true,
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+ "LlamaForCausalLM"
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+ "_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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+ "transformers_version": "4.36.2",
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+ "model_type": "llama"
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+ }
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+ "bos_token": "<s>",
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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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