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Upload folder using huggingface_hub

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  1. README.md +38 -1
  2. config.json +3 -4
  3. llm.mnn +3 -0
  4. llm.mnn.json +3 -0
  5. llm.mnn.weight +3 -0
  6. llm_config.json +3 -4
README.md CHANGED
@@ -9,5 +9,42 @@ tags:
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  # chatglm2-6b-MNN
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  ## Introduction
 
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- This model is a 4-bit quantized version of the MNN model exported from chatglm2-6b using [llm-export](https://github.com/wangzhaode/llm-export).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # chatglm2-6b-MNN
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  ## Introduction
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+ This model is a 4-bit quantized version of the MNN model exported from [chatglm2-6b](https://modelscope.cn/models/ZhipuAI/chatglm2-6b/summary) using [llmexport](https://github.com/alibaba/MNN/tree/master/transformers/llm/export).
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+ ## Download
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+ ```bash
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+ # install huggingface
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+ pip install huggingface
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+ ```
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+ ```bash
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+ # shell download
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+ huggingface download --model 'taobao-mnn/chatglm2-6b-MNN' --local_dir 'path/to/dir'
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+ ```
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+ ```python
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+ # SDK download
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+ from huggingface_hub import snapshot_download
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+ model_dir = snapshot_download('taobao-mnn/chatglm2-6b-MNN')
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+ ```
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+
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+ ```bash
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+ # git clone
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+ git clone https://www.modelscope.cn/taobao-mnn/chatglm2-6b-MNN
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+ ```
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+
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+ ## Usage
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+ ```bash
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+ # clone MNN source
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+ git clone https://github.com/alibaba/MNN.git
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+
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+ # compile
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+ cd MNN
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+ mkdir build && cd build
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+ cmake .. -DMNN_LOW_MEMORY=true -DMNN_CPU_WEIGHT_DEQUANT_GEMM=true -DMNN_BUILD_LLM=true -DMNN_SUPPORT_TRANSFORMER_FUSE=true
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+ make -j
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+
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+ # run
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+ ./llm_demo /path/to/chatglm2-6b-MNN/config.json prompt.txt
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+ ```
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+
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+ ## Document
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+ [MNN-LLM](https://mnn-docs.readthedocs.io/en/latest/transformers/llm.html#)
config.json CHANGED
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  {
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- "llm_model": "chatglm2-6b-int4.mnn",
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- "llm_weight": "chatglm2-6b-int4.mnn.weight",
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-
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  "backend_type": "cpu",
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  "thread_num": 4,
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  "precision": "low",
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  "memory": "low"
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- }
 
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  {
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+ "llm_model": "llm.mnn",
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+ "llm_weight": "llm.mnn.weight",
 
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  "backend_type": "cpu",
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  "thread_num": 4,
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  "precision": "low",
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  "memory": "low"
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+ }
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llm.mnn.json ADDED
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llm_config.json CHANGED
@@ -1,15 +1,14 @@
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  {
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  "hidden_size": 4096,
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  "layer_nums": 28,
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- "attention_mask": "glm2",
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  "key_value_shape": [
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  2,
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- 0,
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  1,
 
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  2,
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  128
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  ],
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  "prompt_template": "[Round 1]\n\n问:%s\n\n答:",
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- "is_visual": false,
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- "is_single": true
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  }
 
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  {
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  "hidden_size": 4096,
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  "layer_nums": 28,
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+ "attention_mask": "float",
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  "key_value_shape": [
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+ 0,
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  "prompt_template": "[Round 1]\n\n问:%s\n\n答:",
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+ "is_visual": false
 
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  }