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mmnga/
Mixtral-Fusion-4x7B-Instruct-v0.1

Name: Mixtral-Fusion-4x7B-Instruct-v0.1
Rating: 2.5 (13 reviews)

text-generation-inference

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Model Card for Mixtral-Fusion-4x7B-Instruct-v0.1

This model is an experimental model created by merging mistralai/Mixtral-8x7B-Instruct-v0.1 experts.

How we merged experts

Changed to merge using slerp.
Discussion

old merge version
~~We simply take the average of every two experts.weight.~~
~~The same goes for gate.weight.~~

How To Convert

use colab cpu-high-memory.
convert_mixtral_8x7b_to_4x7b.ipynb

OtherModels

mmnga/Mixtral-Extraction-4x7B-Instruct-v0.1

Usage

python

pip install git+https://github.com/huggingface/transformers --upgrade
pip install torch accelerate bitsandbytes flash_attn

python

from transformers import AutoTokenizer, AutoModelForCausalLM, MixtralForCausalLM
import torch

model_name_or_path = "mmnga/Mixtral-Fusion-4x7B-Instruct-v0.1"

tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
model = MixtralForCausalLM.from_pretrained(model_name_or_path, load_in_8bit=True)

text = "[INST] What was John Holt's vision on education? [/INST] "
inputs = tokenizer(text, return_tensors="pt")

outputs = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))