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metadata
license: apache-2.0
base_model: DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-6B-Brainstorm20x
language:
  - en
pipeline_tag: text-generation
tags:
  - merge
  - programming
  - code generation
  - code
  - coding
  - coder
  - chat
  - brainstorm
  - qwen
  - qwen3
  - qwencoder
  - brainstorm20x
  - esper
  - esper-3
  - valiant
  - valiant-labs
  - qwen-3
  - qwen-3-4b
  - 4b
  - reasoning
  - code-instruct
  - python
  - javascript
  - dev-ops
  - jenkins
  - terraform
  - scripting
  - powershell
  - azure
  - aws
  - gcp
  - cloud
  - problem-solving
  - architect
  - engineer
  - developer
  - creative
  - analytical
  - expert
  - rationality
  - conversational
  - instruct
  - mlx
datasets:
  - sequelbox/Titanium2.1-DeepSeek-R1
  - sequelbox/Tachibana2-DeepSeek-R1
  - sequelbox/Raiden-DeepSeek-R1
library_name: mlx

Qwen3-Esper3-Reasoning-CODER-Instruct-6B-Brainstorm20x-q8-mlx

This model Qwen3-Esper3-Reasoning-CODER-Instruct-6B-Brainstorm20x-q8-mlx was converted to MLX format from DavidAU/Qwen3-Esper3-Reasoning-CODER-Instruct-6B-Brainstorm20x using mlx-lm version 0.26.0.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("Qwen3-Esper3-Reasoning-CODER-Instruct-6B-Brainstorm20x-q8-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)