dolphin-2.1-mistral-7b-agent-lora
This is a rank 64 LoRA finetune of ehartford/dolphin-2.1-mistral-7b on THUDM/AgentInstruct for 1.1 epochs.
Prompt Format
Dolphin-Agent uses ChatML as the prompt format:
<|im_start|>system
You are Dolphin, a helpful AI assistant.<|im_end|>
<|im_start|>user
If Danny owns a bike, then Edward owns a bike. If Edward owns a bike, then Freddy owns a bike. If Danny owns a bike, which of the following statements must be true? Let's think step by step.
I. Edward owns a bike.
II. Freddy owns a bike.
III. Freddy does not own a bike.
Choose one answer:
I only
II only
III only
I and II only
I and III only
<|im_end|>
<|im_start|>assistant
Training procedure
The following bitsandbytes
quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
Framework versions
- PEFT 0.6.0.dev0
Training procedure
Framework versions
- PEFT 0.6.0.dev0
- Downloads last month
- 2
Model tree for poisson-fish/dolphin-2.1-mistral-7b-agent-lora
Base model
mistralai/Mistral-7B-v0.1