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- README.md +31 -0
- config.json +31 -0
- model-00001-of-00007.safetensors +3 -0
- model-00002-of-00007.safetensors +3 -0
- model-00003-of-00007.safetensors +3 -0
- model-00004-of-00007.safetensors +3 -0
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +39 -0
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---
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base_model: ausboss/llama-30b-supercot
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tags:
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- mlx
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---
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# mlx-community/llama-30b-supercot
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The Model [mlx-community/llama-30b-supercot](https://huggingface.co/mlx-community/llama-30b-supercot) was converted to MLX format from [ausboss/llama-30b-supercot](https://huggingface.co/ausboss/llama-30b-supercot) using mlx-lm version **0.19.0**.
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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("mlx-community/llama-30b-supercot")
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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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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 6656,
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"initializer_range": 0.02,
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"intermediate_size": 17920,
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"max_position_embeddings": 2048,
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"max_sequence_length": 2048,
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"model_type": "llama",
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"num_attention_heads": 52,
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"num_hidden_layers": 60,
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"pad_token_id": 0,
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"quantization": {
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"group_size": 64,
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"bits": 8
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},
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"quantization_config": {
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"group_size": 64,
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"bits": 8
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},
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.28.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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{
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"bos_token": {
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"content": "<s>",
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"eos_token": {
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"lstrip": false,
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"single_word": false
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"unk_token": {
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"single_word": false
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}
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{
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"add_eos_token": false,
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"added_tokens_decoder": {
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"special": true
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"2": {
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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