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shanginn
/
Qwen2.5-Coder-32B-Instruct-mlx

Text Generation
Transformers
Safetensors
MLX
English
qwen2
code
codeqwen
chat
qwen
qwen-coder
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
1
shanginn commited on
Commit
5e654cb
•
1 Parent(s): 91ea8bf

ccf7e0f6edc3553bca26eadd2c2a21621ef86c0d3d91942e16188c94509eea1d

Browse files
Files changed (10) hide show
  1. .gitattributes +1 -0
  2. README.md +42 -0
  3. added_tokens.json +24 -0
  4. config.json +27 -0
  5. merges.txt +0 -0
  6. model.safetensors.index.json +778 -0
  7. special_tokens_map.json +31 -0
  8. tokenizer.json +3 -0
  9. tokenizer_config.json +207 -0
  10. vocab.json +0 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE
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+ language:
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+ - en
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+ base_model: Qwen/Qwen2.5-Coder-32B-Instruct
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+ pipeline_tag: text-generation
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+ library_name: transformers
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+ tags:
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+ - code
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+ - codeqwen
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+ - chat
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+ - qwen
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+ - qwen-coder
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+ - mlx
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+ ---
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+
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+ # shanginn/Qwen2.5-Coder-32B-Instruct-mlx
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+
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+ The Model [shanginn/Qwen2.5-Coder-32B-Instruct-mlx](https://huggingface.co/shanginn/Qwen2.5-Coder-32B-Instruct-mlx) was converted to MLX format from [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) using mlx-lm version **0.19.2**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("shanginn/Qwen2.5-Coder-32B-Instruct-mlx")
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+
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+ prompt="hello"
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+
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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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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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config.json ADDED
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+ {
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151645,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 27648,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 70,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 64,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": 131072,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.43.1",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
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