Llama3 from 8B to 12B
We created a model from other cool models to combine everything into one cool model.
Model Details
Model Description
- Developed by: @ehristoforu
- Model type: Text Generation (conversational)
- Language(s) (NLP): English, Russian
- Finetuned from model: meta-llama/Meta-Llama-3-8B-Instruct
How to Get Started with the Model
Use the code below to get started with the model.
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_id = "ehristoforu/llama-3-12b-instruct"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
device_map="auto",
)
messages = [
{"role": "system", "content": "You are a pirate chatbot who always responds in pirate speak!"},
{"role": "user", "content": "Who are you?"},
]
input_ids = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
return_tensors="pt"
).to(model.device)
terminators = [
tokenizer.eos_token_id,
tokenizer.convert_tokens_to_ids("<|eot_id|>")
]
outputs = model.generate(
input_ids,
max_new_tokens=256,
eos_token_id=terminators,
do_sample=True,
temperature=0.6,
top_p=0.9,
)
response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))
About merge
Base model: Meta-Llama-3-8B-Instruct
Merge models:
- Muhammad2003/Llama3-8B-OpenHermes-DPO
- IlyaGusev/saiga_llama3_8b
- NousResearch/Meta-Llama-3-8B-Instruct
- abacusai/Llama-3-Smaug-8B
- vicgalle/Configurable-Llama-3-8B-v0.2
- cognitivecomputations/dolphin-2.9-llama3-8b
- NeuralNovel/Llama-3-NeuralPaca-8b
Merge datasets:
- mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha
- tatsu-lab/alpaca
- vicgalle/configurable-system-prompt-multitask
- IlyaGusev/ru_turbo_saiga
- IlyaGusev/ru_sharegpt_cleaned
- IlyaGusev/oasst1_ru_main_branch
- IlyaGusev/gpt_roleplay_realm
- lksy/ru_instruct_gpt4