You can deploy this model and start earning money today!

RichardErkhov/
vistagi_-_Mixtral-8x7b-v0.1-sft-gguf

Name: vistagi_-_Mixtral-8x7b-v0.1-sft-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Mixtral-8x7b-v0.1-sft - GGUF

Model creator: https://huggingface.co/vistagi/
Original model: https://huggingface.co/vistagi/Mixtral-8x7b-v0.1-sft/

Name	Quant method	Size
Mixtral-8x7b-v0.1-sft.Q2_K.gguf	Q2_K	16.12GB
Mixtral-8x7b-v0.1-sft.IQ3_XS.gguf	IQ3_XS	18.02GB
Mixtral-8x7b-v0.1-sft.IQ3_S.gguf	IQ3_S	19.03GB
Mixtral-8x7b-v0.1-sft.Q3_K_S.gguf	Q3_K_S	19.03GB
Mixtral-8x7b-v0.1-sft.IQ3_M.gguf	IQ3_M	19.96GB
Mixtral-8x7b-v0.1-sft.Q3_K.gguf	Q3_K	21.0GB
Mixtral-8x7b-v0.1-sft.Q3_K_M.gguf	Q3_K_M	21.0GB
Mixtral-8x7b-v0.1-sft.Q3_K_L.gguf	Q3_K_L	4.27GB
Mixtral-8x7b-v0.1-sft.IQ4_XS.gguf	IQ4_XS	23.63GB
Mixtral-8x7b-v0.1-sft.Q4_0.gguf	Q4_0	24.63GB
Mixtral-8x7b-v0.1-sft.IQ4_NL.gguf	IQ4_NL	24.91GB
Mixtral-8x7b-v0.1-sft.Q4_K_S.gguf	Q4_K_S	24.91GB
Mixtral-8x7b-v0.1-sft.Q4_K.gguf	Q4_K	26.49GB
Mixtral-8x7b-v0.1-sft.Q4_K_M.gguf	Q4_K_M	26.49GB
Mixtral-8x7b-v0.1-sft.Q4_1.gguf	Q4_1	27.32GB
Mixtral-8x7b-v0.1-sft.Q5_0.gguf	Q5_0	30.02GB
Mixtral-8x7b-v0.1-sft.Q5_K_S.gguf	Q5_K_S	30.02GB
Mixtral-8x7b-v0.1-sft.Q5_K.gguf	Q5_K	30.95GB
Mixtral-8x7b-v0.1-sft.Q5_K_M.gguf	Q5_K_M	30.95GB
Mixtral-8x7b-v0.1-sft.Q5_1.gguf	Q5_1	32.71GB
Mixtral-8x7b-v0.1-sft.Q6_K.gguf	Q6_K	35.74GB
Mixtral-8x7b-v0.1-sft.Q8_0.gguf	Q8_0	46.22GB

Original model description:

license: apache-2.0 datasets:

HuggingFaceH4/ultrachat_200k language:
en

Introduction

This model vistagi/Mixtral-8x7b-v0.1-sft is trained with Ultrachat-200K dataset through supervised finetuning using Mixtral-8x7b-v0.1 as the baseline model. The training is done with bfloat16 precision using LoRA.

Details

Used Librarys

torch
deepspeed
pytorch lightning
transformers
peft

RichardErkhov/vistagi_-_Mixtral-8x7b-v0.1-sft-gguf

Original model description:

Introduction

Details

RichardErkhov/
vistagi_-_Mixtral-8x7b-v0.1-sft-gguf