metadata

base_model:
  - 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
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
library_name: transformers
tags:
  - llama
  - llama3
  - llama3-12b
  - instruct
  - merge
language:
  - en
  - ru
pipeline_tag: text-generation
license: apache-2.0

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