Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,71 @@
+---
+inference: false
+library_name: transformers
+language:
+- en
+- fr
+- de
+- es
+- it
+- pt
+- ja
+- ko
+- zh
+- ar
+- el
+- fa
+- pl
+- id
+- cs
+- he
+- hi
+- nl
+- ro
+- ru
+- tr
+- uk
+- vi
+license: cc-by-nc-4.0
+extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and
+  acknowledge that the information you provide will be collected, used, and shared
+  in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll
+  receive email updates about C4AI and Cohere research, events, products and services.
+  You can unsubscribe at any time.
+extra_gated_fields:
+  Name: text
+  Affiliation: text
+  Country: country
+  I agree to use this model for non-commercial use ONLY: checkbox
+tags:
+- abliterated
+- uncensored
+- mlx
+- mlx-my-repo
+base_model: huihui-ai/aya-expanse-32b-abliterated
+---
+
+# KYUNGYONG/aya-expanse-32b-abliterated-Q4-mlx
+
+The Model [KYUNGYONG/aya-expanse-32b-abliterated-Q4-mlx](https://huggingface.co/KYUNGYONG/aya-expanse-32b-abliterated-Q4-mlx) was converted to MLX format from [huihui-ai/aya-expanse-32b-abliterated](https://huggingface.co/huihui-ai/aya-expanse-32b-abliterated) using mlx-lm version **0.21.5**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("KYUNGYONG/aya-expanse-32b-abliterated-Q4-mlx")
+
+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)
+```