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README.md

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+---
+datasets:
+- HuggingFaceTB/smollm-corpus
+language:
+- en
+library_name: transformers
+license: apache-2.0
+tags:
+- mlx
+---
+
+# mlx-community/SmolLM-1.7B-fp16
+
+The Model [mlx-community/SmolLM-1.7B-fp16](https://huggingface.co/mlx-community/SmolLM-1.7B-fp16) was converted to MLX format from [HuggingFaceTB/SmolLM-1.7B](https://huggingface.co/HuggingFaceTB/SmolLM-1.7B) using mlx-lm version **0.15.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/SmolLM-1.7B-fp16")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+    "intermediate_size": 8192,
+    "max_position_embeddings": 2048,
+    "model_type": "llama",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 24,
+    "num_key_value_heads": 32,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000.0,
+    "tie_word_embeddings": true,
+    "torch_dtype": "float32",
+    "transformers_version": "4.39.3",
+    "use_cache": true,
+    "vocab_size": 49152
+}

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+  },
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+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
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+    "<issue_closed>",
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+    "<jupyter_output>",
+    "<jupyter_script>",
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+  "bos_token": "<|endoftext|>",
+  "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 %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}