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Model: tclf90/Qwen2-14B-merge-GPTQ-Int8
Source: Original Platform

.gitattributes

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LICENSE

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+Tongyi Qianwen LICENSE AGREEMENT
+
+Tongyi Qianwen Release Date: August 3, 2023
+
+By clicking to agree or by using or distributing any portion or element of the Tongyi Qianwen Materials, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately.
+
+1. Definitions
+    a. This Tongyi Qianwen LICENSE AGREEMENT (this "Agreement") shall mean the terms and conditions for use, reproduction, distribution and modification of the Materials as defined by this Agreement.
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+    d. "Third Parties" shall mean individuals or legal entities that are not under common control with Us or You.
+    e. "Tongyi Qianwen" shall mean the large language models (including Qwen model and Qwen-Chat model), and software and algorithms, consisting of trained model weights, parameters (including optimizer states), machine-learning model code, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Us.
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README.md

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+---
+license: qwen
+license_name: Tongyi Qianwen LICENSE AGREEMENT
+license_link: LICENSE
+pipeline_tag: text-generation
+tags:
+- qwen2
+- gptq
+- int8
+- 量化修复
+- vLLM
+---
+
+# 通义千问2-14B-Merge-GPTQ-Int8-量化修复
+HF原模型 [paperplanedeemo/Qwen2-14B-merge](https://huggingface.co/paperplanedeemo/Qwen2-14B-merge)
+
+
+### 【模型更新日期】
+``` 2024-06-13 ```
+
+### 【模型大小】
+`13.3GB`
+
+### 【修复内容】
+
+1. 对GPTQ量化的校准做了额外优化；减少量化模型的 `1.乱吐字`、`2.无限循环`、`3.长文能力丢失`等情况。
+
+### 【更新日志】
+
+```
+2024-06-13
+首次commit
+```
+
+### 【介绍】
+<i>注意：非官方模型</i>
+
+Qwen2-14B-merge is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+```yaml
+dtype: float16
+merge_method: passthrough
+slices:
+  - sources:
+      - layer_range: [0, 6]
+        model: Qwen/Qwen2-7B-Instruct
+  - sources:
+      - layer_range: [3, 9]
+        model: Qwen/Qwen2-7B-Instruct
+  - sources:
+      - layer_range: [6, 12]
+        model: Qwen/Qwen2-7B-Instruct
+  - sources:
+      - layer_range: [9, 15]
+        model: Qwen/Qwen2-7B-Instruct
+  - sources:
+      - layer_range: [12, 18]
+        model: Qwen/Qwen2-7B-Instruct
+  - sources:
+      - layer_range: [15, 21]
+        model: Qwen/Qwen2-7B-Instruct
+  - sources:
+      - layer_range: [18, 24]
+        model: Qwen/Qwen2-7B-Instruct
+  - sources:
+      - layer_range: [21, 28]
+        model: Qwen/Qwen2-7B-Instruct
+```
+
+[更多详情...](https://huggingface.co/paperplanedeemo/Qwen2-14B-merge)
+
+### 【同期量化修复模型】
+待工作完成后补充...
+
+### 【模型下载】
+```python
+from modelscope import snapshot_download
+model_dir = snapshot_download('tclf90/模型名', cache_dir="本地路径")
+```
+
+### 【[vLLM](https://github.com/vllm-project/vllm)推理（目前仅限Linux）】
+#### 1. Python 简易调试
+
+待工作完成后补充...
+
+#### 2. 类ChatGPT RESTFul API Server
+```
+>>> python -m vllm.entrypoints.openai.api_server --model 本地路径/tclf90/模型名称
+```

added_tokens.json

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+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

config.json

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+{
+  "_name_or_path": "tclf90/Qwen2-14B-merge-GPTQ-Int8",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 49,
+  "num_key_value_heads": 4,
+  "quantization_config": {
+    "batch_size": 1,
+    "bits": 8,
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+    "cache_block_outputs": true,
+    "damp_percent": 0.1,
+    "dataset": null,
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+    "modules_in_block_to_quantize": null,
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+    "quant_method": "gptq",
+    "sym": true,
+    "tokenizer": null,
+    "true_sequential": true,
+    "use_cuda_fp16": true,
+    "use_exllama": true
+  },
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": 131072,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.40.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

configuration.json

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+{
+  "framework": "Pytorch",
+  "task": "text-generation"
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "transformers_version": "4.40.2"
+}

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special_tokens_map.json

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+    "<|im_end|>"
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tokenizer_config.json

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+  "added_tokens_decoder": {
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+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}