spow12
/

KoQwen_72B_v5.0

@@ -1,199 +1,91 @@
 ---
 library_name: transformers
-tags: []
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 ---
+language:
+- ko
+- en
+license: cc-by-nc-4.0
 library_name: transformers
+tags:
+- mergekit
+- merge
+base_model:
+- Nexusflow/Athene-V2-Chat
+- Nexusflow/Athene-V2-Agent
+- anthracite-org/magnum-v4-72b
+- Qwen/Qwen2.5-72B-Instruct
 ---
+# spow12/MK_Nemo_12B
 ### Model Description
 <!-- Provide a longer summary of what this model is. -->
+This model is a Supervised fine-tuned version of [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) with DeepSpeed and trl for korean.
+Merge methods.
+```yaml
+merge_method: model_stock
+name: ChatWaifu_72B_V2.4
+models:
+    - model: Nexusflow/Athene-V2-Chat
+    - model: Nexusflow/Athene-V2-Agent
+    - model: Qwen/Qwen2.5-72B-Instruct_instruction_tunned(private)
+    - model: anthracite-org/magnum-v4-72b
+base_model: Qwen/Qwen2.5-72B-Instruct
+dtype: bfloat16
+tokenizer_source: base
+```
+### Trained Data
+- Trained with public, private data (about 500K)
+### Usage
+```python
+from transformers import TextStreamer, pipeline, AutoTokenizer, AutoModelForCausalLM
+model_id = 'spow12/KoQwen_72B_v5.0'
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+# %%
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.bfloat16,
+    attn_implementation="flash_attention_2",  #Optional
+    device_map='auto',
+)
+model.eval()
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, device_map='auto')
+generation_configs = dict(
+    max_new_tokens=2048,
+    num_return_sequences=1,
+    temperature=0.75,
+    # repetition_penalty=1.1,
+    do_sample=True,
+    top_k=20,
+    top_p=0.9,
+    min_p=0.1,
+    eos_token_id=tokenizer.eos_token_id,
+    pad_token_id=tokenizer.eos_token_id,
+    streamer = TextStreamer(tokenizer) # Optional, if you want to use streamer, you have to set num_beams=1
+)
+sys_message = """당신은 친절한 챗봇으로서 상대방의 요청에 최대한 자세하고 친절하게 답해야합니다.
+사용자가 제공하는 정보를 세심하게 분석하여 사용자의 의도를 신속하게 파악하고 그에 따라 답변을 생성해야합니다.
+항상 매우 자연스러운 한국어로 응답하세요."""
+message = [
+    {
+        'role': "system",
+        'content': sys_message
+    },
+    {
+        'role': 'user',
+        'content': "현재의 경제상황에 대해 어떻게 생각해?."
+    }
+]
+conversation = pipe(message, **generation_configs)
+conversation[-1]
+```