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---
license: apache-2.0
library_name: mlx
language:
- en
- fr
- zh
- de
tags:
- programming
- code generation
- code
- codeqwen
- chat
- qwen
- qwen-coder
- moe
- coding
- coder
- qwen2
- mixture of experts
- 128 experts
- 8 active experts
- bfloat16
- qwen3
- finetune
- thinking
- reasoning
- qwen3_moe
- mlx
base_model: DavidAU/Qwen3-53B-A3B-TOTAL-RECALL-MASTER-CODER-v1.4
pipeline_tag: text-generation
---
# Qwen3-53B-A3B-TOTAL-RECALL-MASTER-CODER-v1.4-q8-mlx
This model [Qwen3-53B-A3B-TOTAL-RECALL-MASTER-CODER-v1.4-q8-mlx](https://huggingface.co/Qwen3-53B-A3B-TOTAL-RECALL-MASTER-CODER-v1.4-q8-mlx) was
converted to MLX format from [DavidAU/Qwen3-53B-A3B-TOTAL-RECALL-MASTER-CODER-v1.4](https://huggingface.co/DavidAU/Qwen3-53B-A3B-TOTAL-RECALL-MASTER-CODER-v1.4)
using mlx-lm version **0.26.0**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Qwen3-53B-A3B-TOTAL-RECALL-MASTER-CODER-v1.4-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)
```
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