metadata

license: other
tags:
  - mlx
base_model: 01-ai/yi-34b-200k
datasets:
  - ai2_arc
  - allenai/ultrafeedback_binarized_cleaned
  - argilla/distilabel-intel-orca-dpo-pairs
  - jondurbin/airoboros-3.2
  - codeparrot/apps
  - facebook/belebele
  - bluemoon-fandom-1-1-rp-cleaned
  - boolq
  - camel-ai/biology
  - camel-ai/chemistry
  - camel-ai/math
  - camel-ai/physics
  - jondurbin/contextual-dpo-v0.1
  - jondurbin/gutenberg-dpo-v0.1
  - jondurbin/py-dpo-v0.1
  - jondurbin/truthy-dpo-v0.1
  - LDJnr/Capybara
  - jondurbin/cinematika-v0.1
  - WizardLM/WizardLM_evol_instruct_70k
  - glaiveai/glaive-function-calling-v2
  - jondurbin/gutenberg-dpo-v0.1
  - grimulkan/LimaRP-augmented
  - lmsys/lmsys-chat-1m
  - ParisNeo/lollms_aware_dataset
  - TIGER-Lab/MathInstruct
  - Muennighoff/natural-instructions
  - openbookqa
  - kingbri/PIPPA-shareGPT
  - piqa
  - Vezora/Tested-22k-Python-Alpaca
  - ropes
  - cakiki/rosetta-code
  - Open-Orca/SlimOrca
  - b-mc2/sql-create-context
  - squad_v2
  - mattpscott/airoboros-summarization
  - migtissera/Synthia-v1.3
  - unalignment/toxic-dpo-v0.2
  - WhiteRabbitNeo/WRN-Chapter-1
  - WhiteRabbitNeo/WRN-Chapter-2
  - winogrande
license_name: yi-license
license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE

mlx-community/bagel-dpo-34b-v0.5-4bit-mlx

This model was converted to MLX format from jondurbin/bagel-dpo-34b-v0.5 using mlx-lm version 0.6.0. 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/bagel-dpo-34b-v0.5-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)