---
language:
- en
license: apache-2.0
base_model: FutureMa/Eva-4B
tags:
- finance
- earnings-calls
- financial-nlp
- text-classification
- qwen3
- llm-as-judge
- distillation
- mlx
- mlx-my-repo
pipeline_tag: text-generation
library_name: transformers
spaces:
- FutureMa/financial-evasion-detection
---

# alexgusevski/Eva-4B-mlx-2Bit

The Model [alexgusevski/Eva-4B-mlx-2Bit](https://huggingface.co/alexgusevski/Eva-4B-mlx-2Bit) was converted to MLX format from [FutureMa/Eva-4B](https://huggingface.co/FutureMa/Eva-4B) using mlx-lm version **0.29.1**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/Eva-4B-mlx-2Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```