Edit model card

Developed by chPark

Training Strategy

We fine-tuned this model based on yanolja/KoSOLAR-10.7B-v0.1 We applied a DPO to realPCH/kosolra-kullm

Run the model

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "realPCH/kosolra_SFT_DPO_v0"
tokenizer = AutoTokenizer.from_pretrained(model_id)

model = AutoModelForCausalLM.from_pretrained(model_id)

text = "[INST] Put instruction here. [/INST]"
inputs = tokenizer(text, return_tensors="pt")

outputs = model.generate(**inputs, max_new_tokens=20)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Downloads last month
1,768
Safetensors
Model size
10.9B params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for realPCH/kosolra_SFT_DPO_v0

Quantizations
1 model

Datasets used to train realPCH/kosolra_SFT_DPO_v0