prince-canuma
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- bff13ef997e250584362f7055527acaca556edaa5dd6d933e5b2e8e2fca39673 (d32103c22a16ae7f46311a846f277fc9852003de)
- e717b3aa6b843c5257e1a2a57ae1d08125bacda36ae2cea9f894d86b9765db4a (b80a4560f77212e2b14e49b923230e49335e049a)
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- README.md +22 -0
- config.json +32 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +53 -0
README.md
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---
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license: apache-2.0
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tags:
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- mlx
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---
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# mlx-community/Yi-1.5-34B-Chat-4bit
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The Model [mlx-community/Yi-1.5-34B-Chat-4bit](https://huggingface.co/mlx-community/Yi-1.5-34B-Chat-4bit) was converted to MLX format from [01-ai/Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat) using mlx-lm version **0.13.0**.
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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/Yi-1.5-34B-Chat-4bit")
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response = generate(model, tokenizer, prompt="hello", 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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"hidden_act": "silu",
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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 60,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"quantization": {
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"group_size": 64,
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"bits": 4
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},
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0",
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"use_cache": false,
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"vocab_size": 64000
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}
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model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9c7cefa509fb7df206db262b5b60b86c20a600a26ff8f93bd265df289e1bf4f
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size 5345192455
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model-00002-of-00004.safetensors
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model-00003-of-00004.safetensors
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model-00004-of-00004.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"pad_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
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size 1033105
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tokenizer_config.json
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{
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"add_bos_token": false,
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"add_eos_token": false,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"special": true
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},
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"1": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"rstrip": false,
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"single_word": false,
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},
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"2": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"7": {
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"content": "<|im_end|>",
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"lstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<|startoftext|>",
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\\n' + content + '<|im_end|>\\n<|im_start|>assistant\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\\n' }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"legacy": true,
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"model_max_length": 4096,
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"pad_token": "<unk>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"split_special_tokens": false,
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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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