Upload folder using huggingface_hub (#1)

- 0cf60c9c17efb7c87abb38967b7907b596fe3b64885f31d3b23e7996e9070a37 (b8db10310f1238f0913deebe21fd0345a4993a99)

README.md

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+---
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- mlx
+datasets:
+- HuggingFaceTB/smollm-corpus
+---
+
+# mlx-community/SmolLM-360M-4bit
+
+The Model [mlx-community/SmolLM-360M-4bit](https://huggingface.co/mlx-community/SmolLM-360M-4bit) was converted to MLX format from [HuggingFaceTB/SmolLM-360M](https://huggingface.co/HuggingFaceTB/SmolLM-360M) using mlx-lm version **0.16.0**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/SmolLM-360M-4bit")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```

config.json

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+{
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+        "LlamaForCausalLM"
+    ],
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+    "attention_dropout": 0.0,
+    "bos_token_id": 0,
+    "eos_token_id": 0,
+    "hidden_act": "silu",
+    "hidden_size": 960,
+    "initializer_range": 0.02,
+    "intermediate_size": 2560,
+    "max_position_embeddings": 2048,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 15,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 5,
+    "pretraining_tp": 1,
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000.0,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.41.2",
+    "use_cache": true,
+    "vocab_size": 49152
+}

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+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "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
+}