mlx-community/NeuralBeagle14-7B-4bit-mlx

Model

4

stars

2

commits

1

linked in READMEs

Jan 17, 2024

updated

argilla/distilabeled-Marcoro14-7B-slerp
dpo
fblgit/UNA-TheBeagle-7b-v1
lazymergekit
merge
mergekit
mistral
mlx
rlhf
Browse cluster: LLM Preference Learning & RLHF

README

mlx-community/NeuralBeagle14-7B-4bit-mlx

This model was converted to MLX format from mlabonne/NeuralBeagle14-7B. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/NeuralBeagle14-7B-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)

Contributors

mc0ps

2 commits

mlx-community/NeuralBeagle14-7B-4bit-mlx

Model

4

stars

2

commits

1

linked in READMEs

Jan 17, 2024

updated

argilla/distilabeled-Marcoro14-7B-slerp
dpo
fblgit/UNA-TheBeagle-7b-v1
lazymergekit
merge
mergekit
mistral
mlx
rlhf
Browse cluster: LLM Preference Learning & RLHF

README

mlx-community/NeuralBeagle14-7B-4bit-mlx

This model was converted to MLX format from mlabonne/NeuralBeagle14-7B. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/NeuralBeagle14-7B-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)

Contributors

mc0ps

2 commits