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RichardErkhov/
heavytail_-_kullm-mistral-gguf

Name: heavytail_-_kullm-mistral-gguf
Availability: InStock

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kullm-mistral - GGUF

Model creator: https://huggingface.co/heavytail/
Original model: https://huggingface.co/heavytail/kullm-mistral/

Name	Quant method	Size
kullm-mistral.Q2_K.gguf	Q2_K	2.53GB
kullm-mistral.Q3_K_S.gguf	Q3_K_S	2.95GB
kullm-mistral.Q3_K.gguf	Q3_K	3.28GB
kullm-mistral.Q3_K_M.gguf	Q3_K_M	3.28GB
kullm-mistral.Q3_K_L.gguf	Q3_K_L	3.56GB
kullm-mistral.IQ4_XS.gguf	IQ4_XS	3.67GB
kullm-mistral.Q4_0.gguf	Q4_0	3.83GB
kullm-mistral.IQ4_NL.gguf	IQ4_NL	3.87GB
kullm-mistral.Q4_K_S.gguf	Q4_K_S	3.86GB
kullm-mistral.Q4_K.gguf	Q4_K	4.07GB
kullm-mistral.Q4_K_M.gguf	Q4_K_M	4.07GB
kullm-mistral.Q4_1.gguf	Q4_1	4.24GB
kullm-mistral.Q5_0.gguf	Q5_0	4.65GB
kullm-mistral.Q5_K_S.gguf	Q5_K_S	4.65GB
kullm-mistral.Q5_K.gguf	Q5_K	4.78GB
kullm-mistral.Q5_K_M.gguf	Q5_K_M	4.78GB
kullm-mistral.Q5_1.gguf	Q5_1	5.07GB
kullm-mistral.Q6_K.gguf	Q6_K	5.53GB
kullm-mistral.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 language:

KULLM project

base model: mistralai/Mistral-7B-Instruct-v0.2

datasets

KULLM dataset
hand-crafted instruction data

Implementation Code

python

from transformers import (
    AutoModelForCausalLM,
    AutoTokenizer
)
import torch

repo = "heavytail/kullm-mistral"
model = AutoModelForCausalLM.from_pretrained(
        repo,
        torch_dtype=torch.float16,
        device_map='auto'
)
tokenizer = AutoTokenizer.from_pretrained(repo)

Initial upload: 2024/01/28 20:30

RichardErkhov/heavytail_-_kullm-mistral-gguf

Original model description:

KULLM project

datasets

Implementation Code

RichardErkhov/
heavytail_-_kullm-mistral-gguf