Update README.md

README.md

@@ -13,7 +13,7 @@ language:
 ---
 # MicroThinker-3B-Preview
 
-MicroThinker-3B-Preview, a new model fine-tuned from the [huihui-ai/Llama-3.1-8B-Instruct-abliterated](https://huggingface.co/huihui-ai/Llama-3.1-8B-Instruct-abliterated) model, focused on advancing AI reasoning capabilities. 
+MicroThinker-3B-Preview, a new model fine-tuned from the [huihui-ai/Meta-Llama-3.1-8B-Instruct-abliterated](https://huggingface.co/huihui-ai/Meta-Llama-3.1-8B-Instruct-abliterated) model, focused on advancing AI reasoning capabilities. 
 
 ## Use with ollama
 
@@ -58,14 +58,14 @@ huggingface-cli download --repo-type  dataset huihui-ai/FineQwQ-142k --local-dir
 3. Used only the huihui-ai/FineQwQ-142k, Trained for 1 epoch:
 
 ```
-swift sft --model huihui-ai/Llama-3.1-8B-Instruct-abliterated --model_type llama3_1 --train_type lora --dataset "data/FineQwQ-142k/FineQwQ-142k.jsonl" --num_train_epochs 1 --per_device_train_batch_size 1 --per_device_eval_batch_size 1 --max_length 21710 --quant_bits 4 --bnb_4bit_compute_dtype bfloat16 --bnb_4bit_quant_storage bfloat16 --lora_rank 8 --lora_alpha 32 --gradient_checkpointing true --weight_decay 0.1 --learning_rate 1e-4 --gradient_accumulation_steps 16 --eval_steps 100 --save_steps 100 --logging_steps 20 --system "You are a helpful assistant. You should think step-by-step." --output_dir output/MicroThinker-3B-Preview/lora/sft --model_author "huihui-ai" --model_name "MicroThinker-3B-Preview"
+swift sft --model huihui-ai/Llama-3.1-8B-Instruct-abliterated --model_type llama3_1 --train_type lora --dataset "data/FineQwQ-142k/FineQwQ-142k.jsonl" --num_train_epochs 1 --per_device_train_batch_size 1 --per_device_eval_batch_size 1 --max_length 21710 --quant_bits 4 --bnb_4bit_compute_dtype bfloat16 --bnb_4bit_quant_storage bfloat16 --lora_rank 8 --lora_alpha 32 --gradient_checkpointing true --weight_decay 0.1 --learning_rate 1e-4 --gradient_accumulation_steps 16 --eval_steps 100 --save_steps 100 --logging_steps 20 --system "You are a helpful assistant. You should think step-by-step." --output_dir output/MicroThinker-8B-Preview/lora/sft --model_author "huihui-ai" --model_name "MicroThinker-8B-Preview"
 ```
 
 4. Save the final fine-tuned model. After you're done, input `exit` to exit.
 Replace the directories below with specific ones.
 
 ```
-swift infer --model huihui-ai/Llama-3.2-3B-Instruct-abliterated --adapters output/Llama-3.2-8B-Instruct-abliterated/lora/sft/v0-20250106-193759/checkpoint-8786 --stream true --merge_lora true 
+swift infer --model huihui-ai/Llama-3.1-8B-Instruct-abliterated --adapters output/Llama-3.1-8B-Instruct-abliterated/lora/sft/v0-20250119-175713/checkpoint-19500 --stream true --merge_lora true 
 ```