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README.md

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+---
+library_name: mlx
+license: other
+license_name: lfm1.0
+license_link: LICENSE
+language:
+- en
+- ja
+- ko
+- fr
+- es
+- de
+- it
+- pt
+- ar
+- zh
+pipeline_tag: text-generation
+tags:
+- liquid
+- lfm2.5
+- edge
+- mlx
+base_model: LiquidAI/LFM2.5-1.2B-Instruct
+---
+
+# LFM2.5-1.2B-Instruct-8bit
+
+This model was converted to MLX format from [LiquidAI/LFM2.5-1.2B-Instruct](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct).
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Parameters | 1.2B |
+| Precision | 8-bit |
+| Group Size | 64 |
+| Size | 1.2 GB |
+| Context Length | 128K |
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("LiquidAI/LFM2.5-1.2B-Instruct-8bit")
+
+prompt = "What is the capital of France?"
+
+if 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)
+```
+
+## License
+
+This model is released under the [LFM 1.0 License](LICENSE).