---
library_name: mlx
tags:
- mlx
- quantized
- mixed-precision
- llama4
- moe
license: other
license_name: llama4
base_model: meta-llama/Llama-4-Maverick-17B-128E-Instruct
base_model_relation: quantized
---



# Llama-4-Maverick-17B-128E-Instruct — 170GB (MLX)



Mixed-precision quantized version of [meta-llama/Llama-4-Maverick-17B-128E-Instruct](https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct) optimised by [baa.ai](https://baa.ai) using a proprietary Black Sheep AI method.



Per-tensor bit-width allocation via advanced sensitivity analysis and budget-constrained optimisation — no calibration data required.



## Metrics



| Metric | Value |

|--------|-------|

| **Size** | **161.7 GB** |

| Average bits | 3.5 |

| WikiText-2 PPL (median) | 6.5236 |



## Usage



```python

from mlx_lm import load, generate



model, tokenizer = load("baa-ai/Llama-4-Maverick-17B-128E-Instruct-RAM-170GB-MLX")

response = generate(model, tokenizer, prompt="Hello!", max_tokens=256)

print(response)

```



---

*Quantized by [baa.ai](https://baa.ai)*



---



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