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Model: tclf90/Qwen1.5-32B-Chat-GPTQ-Int4-Repair
Source: Original Platform

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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.
+    b. "We"(or "Us") shall mean Alibaba Cloud.
+    c. "You" (or "Your") shall mean a natural person or legal entity exercising the rights granted by this Agreement and/or using the Materials for any purpose and in any field of use.
+    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: other
+license_name: tongyi-qianwen
+license_link: >-
+  https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE
+pipeline_tag: text-generation
+tags:
+- qwen
+- 32b
+- gptq
+- int4
+- chat
+---
+
+# Qwen1.5-32B-Chat-GPTQ Int4 模型量化
+
+### 【模型更新日期】
+``` 2024-05-30 ```
+
+重制并补全generation_config.json文件
+
+### 【介绍】
+千问官方`Qwen1.5-32B-Chat`量化模型存在一定程度的量化损失，并导致例如无限`!!!!!!`感叹号等问题。这里集中做一次修复。
+
+| 模型名                                                                                                                   | 量化类型 | 量化比特 | 其余量化参数   | 评价                                                                            |
+|-----------------------------------------------------------------------------------------------------------------------|------|------|----------|-------------------------------------------------------------------------------|
+| [tclf90/Qwen1.5-32B-Chat-GPTQ-Int4-Repair](https://www.modelscope.cn/models/tclf90/Qwen1.5-32B-Chat-GPTQ-Int4-Repair) | GPTQ | int4 | group128 | <b>测试基线</b><br/>无明显的、量化造成的对话失真                                                |
+| [tclf90/Qwen1.5-32B-Chat-GPTQ-Int3](https://www.modelscope.cn/models/tclf90/Qwen1.5-32B-Chat-GPTQ-Int3)               | GPTQ | int3 | group128 | <b>非常推荐</b><br/>对话、指令能力与其余量化版本，没有明显差别，但模型体积最小、占用显存最少，可以吞吐更长上下文，推理速度也比int4快10% |
+| [tclf90/Qwen1.5-32B-Chat-AWQ-G32](https://www.modelscope.cn/models/tclf90/Qwen1.5-32B-Chat-AWQ-G32)                   | AWQ  | int4 | group32  | <b>没有特别亮点</b><br/>尝试用更小的group尺寸来减少量化损失，但在`Qwen1.5-32B-Chat`这个模型上没有表现出区别       |
+
+<i>注：经测试，`Qwen1.5-32B-Chat` 的Int2量化，会胡言乱语，完全失去模型能力。</i>
+
+
+### 【引用】
+
+原模型 [Qwen1.5-32B-Chat](https://www.modelscope.cn/models/qwen/Qwen1.5-32B-Chat)
+
+官方量化模型 [Qwen1.5-32B-Chat-GPTQ-Int4
+](https://www.modelscope.cn/models/qwen/Qwen1.5-32B-Chat-GPTQ-Int4)
+
+量化工具 [AutoGPTQ](https://github.com/AutoGPTQ/AutoGPTQ)

added_tokens.json

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+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

config.json

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+{
+  "_name_or_path": "tclf90/Qwen1.5-32B-Chat-GPTQ-Int4",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 27392,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 35,
+  "model_type": "qwen2",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 64,
+  "num_key_value_heads": 8,
+  "quantization_config": {
+    "batch_size": 1,
+    "bits": 4,
+    "block_name_to_quantize": null,
+    "cache_block_outputs": true,
+    "damp_percent": 0.1,
+    "dataset": null,
+    "desc_act": false,
+    "exllama_config": {
+      "version": 1
+    },
+    "group_size": 128,
+    "max_input_length": null,
+    "model_seqlen": null,
+    "module_name_preceding_first_block": null,
+    "modules_in_block_to_quantize": null,
+    "pad_token_id": null,
+    "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": 32768,
+  "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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+{
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+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.40.2"
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "content": "<|endoftext|>",
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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "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": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}