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#1
by
schroneko
- opened
- README.md +9 -9
- config.json +10 -11
- model.safetensors +2 -2
- model.safetensors.index.json +0 -0
README.md
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@@ -1,14 +1,14 @@
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---
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-
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tags:
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- mlx
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---
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# mlx-community/DeepSeek-R1-Distill-Qwen-
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The Model [mlx-community/DeepSeek-R1-Distill-Qwen-
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converted to MLX format from [deepseek-ai/DeepSeek-R1-Distill-Qwen-
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using mlx-lm version **0.
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## Use with mlx
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@@ -19,14 +19,14 @@ pip install mlx-lm
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-
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prompt
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if 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, 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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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
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tags:
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- mlx
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---
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# mlx-community/DeepSeek-R1-Distill-Qwen-32B-4bit
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The Model [mlx-community/DeepSeek-R1-Distill-Qwen-32B-4bit](https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-32B-4bit) was
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converted to MLX format from [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B)
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using mlx-lm version **0.20.2**.
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## Use with mlx
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-32B-4bit")
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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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config.json
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size":
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"initializer_range": 0.02,
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"intermediate_size":
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"max_position_embeddings": 131072,
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"max_window_layers":
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"model_type": "qwen2",
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"num_attention_heads":
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"num_hidden_layers":
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"num_key_value_heads":
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"quantization": {
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"group_size": 64,
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"bits": 4
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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-
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"rope_theta":
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"sliding_window":
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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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": 131072,
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"max_window_layers": 64,
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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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"quantization": {
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"group_size": 64,
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"bits": 4
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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-05,
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3985d69b00a8f8af6f040fd4e05ab95fc6c0a51e739f37864c29756d5b6e9e2b
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size 4284346187
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model.safetensors.index.json
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