metadata
inference: false
library_name: mlx
language:
- en
- nl
- fr
- it
- pt
- ro
- es
- cs
- pl
- uk
- ru
- el
- de
- da
- sv
- 'no'
- ca
- gl
- cy
- ga
- eu
- hr
- lv
- lt
- sk
- sl
- et
- fi
- hu
- sr
- bg
- ar
- fa
- ur
- tr
- mt
- he
- hi
- mr
- bn
- gu
- pa
- ta
- te
- ne
- tl
- ms
- id
- vi
- jv
- km
- th
- lo
- zh
- my
- ja
- ko
- am
- ha
- ig
- mg
- sn
- sw
- wo
- xh
- yo
- zu
license: cc-by-nc-4.0
extra_gated_prompt: >-
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extra_gated_fields:
Name: text
Affiliation: text
Country: country
I agree to use this model for non-commercial use ONLY: checkbox
base_model: CohereLabs/tiny-aya-global
pipeline_tag: text-generation
tags:
- mlx
mlx-community/tiny-aya-global-8bit-mlx
This model mlx-community/tiny-aya-global-8bit-mlx was converted to MLX format from CohereLabs/tiny-aya-global using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/tiny-aya-global-8bit-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)