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Meta-Llama-3.1-8B-Instruct-abliterated-4bit

mlx-community/Meta-Llama-3.1-8B-Instruct-abliterated-4bit
Text generation · transformers
4-bit Open on Hugging Face
Parameters
8.0B
Weights (est.)
≈ 4.5 GB
Mac memory (est.)
8 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/Meta-Llama-3.1-8B-Instruct-abliterated-4bit --prompt "Hello"

Details

Base model
meta-llama/Llama-3.1-8B-Instruct (finetune) · Llama 3.1 8B Instruct on the radar →
Vendor
Meta · Llama
Task
Text generation
Quantisation
4-bit
Licence
llama3.1
Downloads
229 in the last 30 days · 6.9K all time · 0 likes
Published
2024-07-26 · updated 2024-08-03 (2y ago)
Tags
llama, abliterated, uncensored

Other MLX builds of meta-llama/Llama-3.1-8B-Instruct

Build Quantisation Weights Mac memory Downloads
Meta-Llama-3.1-8B-Instruct-3bit 3-bit ≈ 3.5 GB 8 GB+ 99
Llama-3.1-8B-Instruct-4bit 4-bit ≈ 4.5 GB 8 GB+ 4.9K
Meta-Llama-3.1-8B-Instruct-abliterated-4bit (this one) 4-bit ≈ 4.5 GB 8 GB+ 229
Meta-Llama-3.1-8B-Instruct-abliterated-Q4-MLX 4-bit ≈ 4.5 GB 8 GB+ 98
Meta-Llama-3.1-8B-Instruct-4bit-fakenews 4-bit ≈ 4.5 GB 8 GB+ 62
Llama-3.1-SuperNova-Lite-4bit 4-bit ≈ 4.5 GB 8 GB+ 19
Llama-3.1-SuperNova-Lite-8bit 8-bit ≈ 8.5 GB 16 GB+ 28
Meta-Llama-3.1-8B-Instruct-bf16 bf16 ≈ 16.1 GB 24 GB+ 914
Llama-3.1-8B-Instruct — ≈ 16.1 GB 24 GB+ 762
Meta-Llama-3.1-8B-Instruct-abliterated-bfloat16 — ≈ 16.1 GB 24 GB+ 136
Llama-3.1-SuperNova-Lite-bf16 bf16 ≈ 16.1 GB 24 GB+ 27