You can deploy this model and start earning money today!

RichardErkhov/
silvercoder67_-_Mistral-7b-instruct-v0.2-summ-sft-e2m-gguf

Name: silvercoder67_-_Mistral-7b-instruct-v0.2-summ-sft-e2m-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Mistral-7b-instruct-v0.2-summ-sft-e2m - GGUF

Model creator: https://huggingface.co/silvercoder67/
Original model: https://huggingface.co/silvercoder67/Mistral-7b-instruct-v0.2-summ-sft-e2m/

Name	Quant method	Size
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q2_K.gguf	Q2_K	2.53GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.IQ3_XS.gguf	IQ3_XS	2.81GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.IQ3_S.gguf	IQ3_S	2.96GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q3_K_S.gguf	Q3_K_S	2.95GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.IQ3_M.gguf	IQ3_M	3.06GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q3_K.gguf	Q3_K	3.28GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q3_K_M.gguf	Q3_K_M	3.28GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q3_K_L.gguf	Q3_K_L	3.56GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.IQ4_XS.gguf	IQ4_XS	3.67GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q4_0.gguf	Q4_0	3.83GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.IQ4_NL.gguf	IQ4_NL	3.87GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q4_K_S.gguf	Q4_K_S	3.86GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q4_K.gguf	Q4_K	4.07GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q4_K_M.gguf	Q4_K_M	4.07GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q4_1.gguf	Q4_1	4.24GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q5_0.gguf	Q5_0	4.65GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q5_K_S.gguf	Q5_K_S	4.65GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q5_K.gguf	Q5_K	4.78GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q5_K_M.gguf	Q5_K_M	4.78GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q5_1.gguf	Q5_1	5.07GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q6_K.gguf	Q6_K	5.53GB
Mistral-7b-instruct-v0.2-summ-sft-e2m.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: cc-by-nc-4.0

Description to load and test will be added soon. More details on training and data will be added aswell.

Loading the Model

Use the following Python code to load the model:

python

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

TBD

Generating Text

To generate text, use the following Python code: