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#3
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dattaraj
- opened
- README.md +5 -9
- config.json +8 -6
- model.safetensors +2 -2
- model.safetensors.index.json +1 -339
- tokenizer_config.json +1 -1
README.md
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---
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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/
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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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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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---
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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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config.json
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings":
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_key_value_heads": 32,
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"quantization": {
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"rope_theta": 130000,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers.js_config": {
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"kv_cache_dtype": {
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"q4f16": "float16",
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"fp16": "float16"
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}
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},
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size": 49152
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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,
|