Upload folder using huggingface_hub
#1
by
andito
HF staff
- opened
- README.md +32 -0
- config.json +30 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- model.safetensors.index.json +225 -0
- special_tokens_map.json +34 -0
- tokenizer.json +0 -0
- tokenizer_config.json +154 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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tags:
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- mlx
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base_model: HuggingFaceTB/SmolLM2-1.7B-Intermediate-SFT-v2-summarization-lora-r32-a64-merged-2
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---
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# andito/mlx_summarization
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The Model [andito/mlx_summarization](https://huggingface.co/andito/mlx_summarization) was converted to MLX format from [HuggingFaceTB/SmolLM2-1.7B-Intermediate-SFT-v2-summarization-lora-r32-a64-merged-2](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Intermediate-SFT-v2-summarization-lora-r32-a64-merged-2) using mlx-lm version **0.19.2**.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("andito/mlx_summarization")
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prompt="hello"
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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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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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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": 2048,
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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_hidden_layers": 24,
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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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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.46.1",
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"use_cache": true,
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"vocab_size": 49152
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:85da572d423aee1956353c3e16980c4d6bf343b32501b0ee419a9f7aded14021
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size 3422777684
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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|
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
vocab.json
ADDED
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|
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