Skip to content

Nous-Hermes-2-Mistral-7B-DPO-4bit-MLX

mlx-community/Nous-Hermes-2-Mistral-7B-DPO-4bit-MLX
Uncategorised · mlx
4-bit Open on Hugging Face
Parameters
7.2B
Weights (est.)
≈ 4.3 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.

Details

Base model
mistralai/Mistral-7B-v0.1 (finetune) · Mistral 7B v0.1 on the radar →
Vendor
Mistral
Task
Uncategorised
Quantisation
4-bit
Licence
apache-2.0
Downloads
67 in the last 30 days · 3.2K all time · 5 likes
Published
2024-02-20 · updated 2024-02-21 (2y ago)
Languages
en
Tags
mistral, Mistral, instruct, finetune, chatml, DPO, RLHF, gpt4, synthetic data, distillation

Other MLX builds of mistralai/Mistral-7B-v0.1

Build Quantisation Weights Mac memory Downloads
OpenHermes-2.5-Mistral-7B-4bit-mlx 4-bit ≈ 4.3 GB 8 GB+ 97
Nous-Hermes-2-Mistral-7B-DPO-4bit-MLX (this one) 4-bit ≈ 4.3 GB 8 GB+ 67
Hermes-2-Pro-Mistral-7B-4bit 4-bit ≈ 4.3 GB 8 GB+ 199
Hermes-2-Pro-Mistral-7B-8bit 8-bit ≈ 7.8 GB 16 GB+ 283
openchat-3.5-0106-4bit-mlx 4-bit — — 108
openchat-3.5-1210-7b-mlx — — — 47
openchat-3.5-0106 — — — 45
garten2-7b-4bit-mlx 4-bit — — 37
BB-L-01-7B-mlx-4bit 4-bit — — 31
zephyr-7b-sft-lora-fused-mlx — — — 23