ogmatrixllm/arcadex-llm

Qwen2.5-Coder-7B LoRA 4-bit BF16 w/ FlashAttn2, short seq=512 for faster iteration

This is a LoRA-fused model based on Qwen/Qwen2.5-7B-Instruct.

Model Description

• Model Name: Qwen2.5-Coder-7B LoRA 4-bit BF16 w/ FlashAttn2, short seq=512 for faster iteration
• Language: en
• License: apache-2.0
• Dataset: ogmatrixllm/pokemon-lore-instructions
• Tags: LoRA, 4-bit, BF16, FlashAttn2, Pokémon, EMA, fast-training, text-generation, chat, transformers

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ogmatrixllm/arcadex-llm")
model = AutoModelForCausalLM.from_pretrained("ogmatrixllm/arcadex-llm")

prompt = "Hello, world!"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))