Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,47 @@
+---
+license: apache-2.0
+base_model: speakleash/Bielik-11B-v2.3-Instruct
+language:
+- pl
+library_name: transformers
+tags:
+- merge
+- mergekit
+- mlx
+- mlx-my-repo
+inference:
+  parameters:
+    temperature: 0.2
+widget:
+- messages:
+  - role: user
+    content: Co przedstawia polskie godło?
+extra_gated_description: If you want to learn more about how you can use the model,
+  please refer to our <a href="https://bielik.ai/terms/">Terms of Use</a>.
+---
+
+# lknik/Bielik-11B-v2.3-Instruct-8bit
+
+The Model [lknik/Bielik-11B-v2.3-Instruct-8bit](https://huggingface.co/lknik/Bielik-11B-v2.3-Instruct-8bit) was converted to MLX format from [speakleash/Bielik-11B-v2.3-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.3-Instruct) 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("lknik/Bielik-11B-v2.3-Instruct-8bit")
+
+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)
+```