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README.md

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+---
+license: apache-2.0
+widget:
+- example_title: Yi-34B-Chat
+  text: hi
+  output:
+    text: ' Hello! How can I assist you today?'
+- example_title: Yi-34B
+  text: There's a place where time stands still. A place of breath taking wonder,
+    but also
+  output:
+    text: ' an eerie sense that something is just not right…
+
+      Between the two worlds lies The Forgotten Kingdom - home to creatures long since
+      thought extinct and ancient magic so strong it defies belief! Only here can
+      you find what has been lost for centuries: An Elixir Of Life which will restore
+      youth and vitality if only those who seek its power are brave enough to face
+      up against all manner of dangers lurking in this mysterious land! But beware;
+      some say there may even exist powerful entities beyond our comprehension whose
+      intentions towards humanity remain unclear at best ---- they might want nothing
+      more than destruction itself rather then anything else from their quest after
+      immortality (and maybe someone should tell them about modern medicine)? In any
+      event though – one thing remains true regardless : whether or not success comes
+      easy depends entirely upon how much effort we put into conquering whatever challenges
+      lie ahead along with having faith deep down inside ourselves too ;) So let’s
+      get started now shall We?'
+pipeline_tag: text-generation
+tags:
+- mlx
+base_model: 01-ai/Yi-34B-200K
+---
+
+# Fmuaddib/Yi-34B-200K-mlx-8Bit
+
+The Model [Fmuaddib/Yi-34B-200K-mlx-8Bit](https://huggingface.co/Fmuaddib/Yi-34B-200K-mlx-8Bit) was converted to MLX format from [01-ai/Yi-34B-200K](https://huggingface.co/01-ai/Yi-34B-200K) 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("Fmuaddib/Yi-34B-200K-mlx-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)
+```