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Model: Minami-su/Qwen1.5-7B-Chat_llamafy
Source: Original Platform

README.md

@@ -0,0 +1,64 @@
+---
+license: other
+license_name: qwen
+license_link: >-
+  https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT
+language:
+- en
+- zh
+library_name: transformers
+pipeline_tag: text-generation
+inference: false
+tags:
+- llama
+- qwen
+- qwen1.5
+- qwen2
+---
+This is the LLaMAfied version of [Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) model by Alibaba Cloud.
+The original codebase can be found at: (https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_qwen.py).
+I have made modifications to make it compatible with qwen1.5.
+This model is converted with https://github.com/Minami-su/character_AI_open/blob/main/llamafy_qwen_v2.py
+
+Usage:
+
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
+tokenizer = AutoTokenizer.from_pretrained("Minami-su/Qwen1.5-7B-Chat_llamafy")
+model = AutoModelForCausalLM.from_pretrained("Minami-su/Qwen1.5-7B-Chat_llamafy", torch_dtype="auto", device_map="auto")
+streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
+
+messages = [
+    {"role": "user", "content": "Who are you?"}
+]
+inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")
+inputs = inputs.to("cuda")
+generate_ids = model.generate(inputs,max_length=2048, streamer=streamer)
+
+```
+
+## Test
+load in 4bit
+```
+hf-causal (pretrained=Qwen1.5-7B-Chat), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8
+|    Task     |Version| Metric |Value |   |Stderr|
+|-------------|------:|--------|-----:|---|-----:|
+|arc_challenge|      0|acc     |0.4155|±  |0.0144|
+|             |       |acc_norm|0.4480|±  |0.0145|
+|truthfulqa_mc|      1|mc1     |0.3513|±  |0.0167|
+|             |       |mc2     |0.5165|±  |0.0159|
+|winogrande   |      0|acc     |0.6330|±  |0.0135|
+```
+load in 4bit
+```
+hf-causal (pretrained=Qwen1.5-7B-Chat_llamafy), limit: None, provide_description: False, num_fewshot: 0, batch_size: 8
+|    Task     |Version| Metric |Value |   |Stderr|
+|-------------|------:|--------|-----:|---|-----:|
+|arc_challenge|      0|acc     |0.4172|±  |0.0144|
+|             |       |acc_norm|0.4488|±  |0.0145|
+|truthfulqa_mc|      1|mc1     |0.3501|±  |0.0167|
+|             |       |mc2     |0.5164|±  |0.0159|
+|winogrande   |      0|acc     |0.6306|±  |0.0136|
+```
+```