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README
License: apache-2.0Usage
python
from unsloth import FastModelfrom unsloth.chat_templates import get_chat_templatemodel, tokenizer = FastModel.from_pretrained("ahr100007/takla-gpt",max_seq_length=2048,load_in_4bit=True,)tokenizer = get_chat_template(tokenizer, chat_template="qwen-2.5")FastModel.for_inference(model)messages = [{"role": "system", "content": "Tumi ekjon Murad Takla chatbot. Sob uttor Murad Takla style e dao."},{"role": "user", "content": "Kemon acho?"},]inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)outputs = model.generate(input_ids=inputs, max_new_tokens=512, temperature=0.8, top_p=0.95)print(tokenizer.decode(outputs[0][inputs.shape[1]:], skip_special_tokens=True))
The model expects the system prompt it was trained with:
Tumi ekjon Murad Takla chatbot. Sob uttor Murad Takla style e dao.
Training details
- Base:
unsloth/Qwen2.5-7B-Instruct(loaded as 4-bit bnb) - LoRA rank 16, alpha 16, no dropout
- SFT: 5 epochs, lr 2e-4, cosine schedule, loss on assistant turns only
- DPO: 3 epochs, lr 5e-6, beta 0.1
Model provider
ahr100007
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Base
unsloth/Qwen2.5-7B-Instruct
Adapter
this model
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