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by dattaraj - opened
README.md CHANGED
@@ -1,21 +1,17 @@
1
  ---
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- language:
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- - en
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  library_name: transformers
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  license: apache-2.0
 
 
 
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  tags:
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  - mlx
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  - mlx
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- base_model: mlx-community/SmolLM-1.7B-Instruct-8bit
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- datasets:
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- - dattaraj/pc-insurance-cost-estimator
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  ---
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  # dattaraj/smol-lora-insurance-estimates
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- The Model [dattaraj/smol-lora-insurance-estimates](https://huggingface.co/dattaraj/smol-lora-insurance-estimates) was converted to MLX format from [mlx-community/SmolLM-1.7B-Instruct-8bit](https://huggingface.co/mlx-community/SmolLM-1.7B-Instruct-8bit) using mlx-lm version **0.19.1**.
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- This is a test to demonstrate the power of small langauge models. We take a SmoLM 1.7B model and fine-tune it on insurance estimation dataset available at: https://huggingface.co/datasets/dattaraj/pc-insurance-cost-estimator
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- The fine-tuned language model is now expert at taking text description of damage and generating cost estimation.
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  ## Use with mlx
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@@ -37,4 +33,4 @@ if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not
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  )
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  response = generate(model, tokenizer, prompt=prompt, verbose=True)
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- ```
 
1
  ---
 
 
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  library_name: transformers
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  license: apache-2.0
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+ language:
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+ - en
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+ base_model: mlx-community/SmolLM2-1.7B-Instruct
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  tags:
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  - mlx
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  - mlx
 
 
 
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  ---
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  # dattaraj/smol-lora-insurance-estimates
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+ The Model [dattaraj/smol-lora-insurance-estimates](https://huggingface.co/dattaraj/smol-lora-insurance-estimates) was converted to MLX format from [mlx-community/SmolLM2-1.7B-Instruct](https://huggingface.co/mlx-community/SmolLM2-1.7B-Instruct) using mlx-lm version **0.19.1**.
 
 
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  ## Use with mlx
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  )
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  response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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  }
tokenizer_config.json CHANGED
@@ -143,7 +143,7 @@
143
  "<|im_end|>"
144
  ],
145
  "bos_token": "<|im_start|>",
146
- "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
147
  "clean_up_tokenization_spaces": false,
148
  "eos_token": "<|im_end|>",
149
  "model_max_length": 2048,
 
143
  "<|im_end|>"
144
  ],
145
  "bos_token": "<|im_start|>",
146
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
147
  "clean_up_tokenization_spaces": false,
148
  "eos_token": "<|im_end|>",
149
  "model_max_length": 2048,