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Browse files
README.md ADDED
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+ ---
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+ base_model: Nexusflow/Athene-V2-Chat
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+ language:
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+ - en
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+ library_name: transformers
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+ license: other
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+ tags:
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+ - RLHF
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+ - Nexusflow
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+ - Athene
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+ - Chat Model
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+ - mlx
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+ ---
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+
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+ # cotdp/Athene-V2-Chat-MLX-4bit
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+
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+ The Model [cotdp/Athene-V2-Chat-MLX-4bit](https://huggingface.co/cotdp/Athene-V2-Chat-MLX-4bit) was converted to MLX format from [Nexusflow/Athene-V2-Chat](https://huggingface.co/Nexusflow/Athene-V2-Chat) using mlx-lm version **0.19.3**.
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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("cotdp/Athene-V2-Chat-MLX-4bit")
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+
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+ prompt="hello"
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+
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+ if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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+ messages = [{"role": "user", "content": prompt}]
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+ prompt = tokenizer.apply_chat_template(
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+ messages, tokenize=False, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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config.json ADDED
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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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+ "hidden_act": "silu",
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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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+ "bits": 4
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+ },
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+ "quantization_config": {
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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merges.txt ADDED
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tokenizer.json ADDED
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
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+ }
vocab.json ADDED
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