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SeQwential-14B-v1-4bit

mlx-community/SeQwential-14B-v1-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
15B
Weights (est.)
≈ 8.3 GB
Mac memory (est.)
16 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/SeQwential-14B-v1-4bit --prompt "Hello"

Details

Base model
CultriX/SeQwential-14B-v1
Vendor
CultriX
Task
Text generation
Quantisation
4-bit
Licence
—
Downloads
24 in the last 30 days · 247 all time · 0 likes
Published
2024-12-18 · updated 2024-12-18 (1y ago)
Tags
qwen2, mergekit, merge, mlx-my-repo