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README.md ADDED
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+ ---
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+ base_model: Salesforce/xLAM-7b-fc-r
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+ datasets:
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+ - Salesforce/xlam-function-calling-60k
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+ language:
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+ - en
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+ license: cc-by-nc-4.0
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+ pipeline_tag: text-generation
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+ tags:
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+ - function-calling
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+ - LLM Agent
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+ - tool-use
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+ - deepseek
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+ - pytorch
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+ - mlx
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+ extra_gated_heading: Acknowledge to follow corresponding license to access the repository
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+ extra_gated_button_content: Agree and access repository
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+ extra_gated_fields:
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+ First Name: text
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+ Last Name: text
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+ Country: country
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+ Affiliation: text
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+ ---
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+
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+ # andstor/xLAM-7b-fc-r-mlx
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+
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+ The Model [andstor/xLAM-7b-fc-r-mlx](https://huggingface.co/andstor/xLAM-7b-fc-r-mlx) was converted to MLX format from [Salesforce/xLAM-7b-fc-r](https://huggingface.co/Salesforce/xLAM-7b-fc-r) using mlx-lm version **0.19.1**.
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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("andstor/xLAM-7b-fc-r-mlx")
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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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+ "mlp_bias": false,
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+ "rope_scaling": null,
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+ "torch_dtype": "bfloat16",
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+ }
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