How to use

from transformers import AutoModelForCausalLM, AutoTokenizer, TextGenerationPipeline
model_path = 'fiveflow/KoLlama-3-8B-Instruct'
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path, 
                                                  device_map="auto",
                                                #   load_in_4bit=True,
                                                  low_cpu_mem_usage=True)

pipe = TextGenerationPipeline(model = model, tokenizer = tokenizer)

Downloads last month: 1,644

Safetensors

Model size

8.03B params

Tensor type

FP16

Inference Examples

Text Generation

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 fiveflow/KoLlama-3-8B-Instruct

Base model

meta-llama/Meta-Llama-3-8B-Instruct

Finetuned

(423)

this model

Quantizations

2 models

Spaces using fiveflow/KoLlama-3-8B-Instruct 5

Evaluation results

Metadata error: specify a dataset to view leaderboard