Update README.md

README.md

@@ -1,6 +1,7 @@
----
-library_name: peft
----
+# This model is finetuned by the joint efforts of Sparticle Inc. and A. I. Hakusan Inc.
+## This model is a fine-tuned Llama2-7b model with Japanese dataset with LoRA.
+The training set of this model is about 5% of randomly chosen data from llm-japanese-dataset by izumi-lab.
+For inference, please follow the instructions in https://github.com/tloen/alpaca-lora/ .
 ## Training procedure
 
 
@@ -10,27 +11,6 @@ The following `bitsandbytes` quantization config was used during training:
 - llm_int8_skip_modules: None
 - llm_int8_enable_fp32_cpu_offload: False
 
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
-
-The following `bitsandbytes` quantization config was used during training:
-- load_in_8bit: True
-- llm_int8_threshold: 6.0
-- llm_int8_skip_modules: None
-- llm_int8_enable_fp32_cpu_offload: False
 ### Framework versions
 
 - PEFT 0.5.0.dev0
-- PEFT 0.5.0.dev0
-- PEFT 0.5.0.dev0
-
-- PEFT 0.5.0.dev0