README.md

metadata

library_name: mlx
model_name: QVikhr-3-4B-Instruction
base_model: Vikhrmodels/QVikhr-3-4B-Instruction
language:
  - ru
  - en
license: apache-2.0
datasets:
  - Vikhrmodels/GrandMaster2
tags:
  - mlx
pipeline_tag: text-generation

Vikhrmodels/QVikhr-3-4B-Instruction-MLX_8bit

This model Vikhrmodels/QVikhr-3-4B-Instruction-MLX_8bit was converted to MLX format from Vikhrmodels/QVikhr-3-4B-Instruction using mlx-lm version 0.25.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Vikhrmodels/QVikhr-3-4B-Instruction-MLX_8bit")

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)