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README.md

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+---
+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-6Bit
+
+The Model [alexgusevski/Eva-4B-mlx-6Bit](https://huggingface.co/alexgusevski/Eva-4B-mlx-6Bit) 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-6Bit")
+
+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)
+```