Update README.md

README.md

@@ -6,18 +6,15 @@ tags:
 - qwen3
 base_model:
 - Qwen/Qwen3-Coder-Next
-library_name: transformers
 license: apache-2.0
 license_link: https://huggingface.co/Qwen/Qwen3-Coder-Next/blob/main/LICENSE
 pipeline_tag: text-generation
 ---
 <div>
   <p style="margin-bottom: 0; margin-top: 0;">
-    <h1 style="margin-top: 0rem;">To Run Qwen3-Coder-Next locally - <a href="https://unsloth.ai/docs/models/qwen3-coder-next">Read our Guide.</a></h1>
-  </p>
-    <p style="margin-bottom: 0; margin-top: 0;">
-    <h2 style="margin-top: 0rem;">Feb 4 update: llama.cpp fixed a bug that caused Qwen to loop and have poor outputs.<br>We updated GGUFs - please re-download and update llama.cpp for improved outputs.</h2>
+    <h1 style="margin-top: 0rem;">To Run Qwen3-Coder-Next locally - <a href="https://unsloth.ai/docs/models/qwen3-coder-next">Read our Guide!</a></h1>
   </p>
+
 <p style="margin-top: 0;margin-bottom: 0;">
     <em><a href="https://unsloth.ai/docs/basics/unsloth-dynamic-2.0-ggufs">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</em>
   </p>
@@ -32,11 +29,16 @@ pipeline_tag: text-generation
       <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
     </a>
   </div>
-<h2 style="margin-top: 0rem;">Qwen3-Coder-Next Usage Guidelines</h2>
 </div>
 
+- **Feb 19 update**: Tool-calling should now be even better after llama.cpp fixes parsing.
+- **Quantization benchmarks**: See third-party Aider, LiveCodeBench v6, MMLU Pro, GPQA [benchmarks for GGUFs here](https://unsloth.ai/docs/models/qwen3-coder-next#gguf-quantization-benchmarks).</h2>
+- **Feb 4 update**: llama.cpp fixed a bug that caused Qwen to loop and have poor outputs.<br>We updated GGUFs - please re-download and update llama.cpp for improved outputs.</h2>
+
+## Qwen3-Coder-Next Usage Guidelines
 - It is recommended to have >45GB unified memory or RAM/VRAM to run 4-bit quants.
 - For best results, use any 2-bit XL quant or above (requires >30GB unified memory /combined RAM + VRAM).
+- See how to run the model via [Claude Code & OpenAI Codex](https://unsloth.ai/docs/models/qwen3-coder-next#claude-codex).
 - For complete detailed instructions (sampling parameters etc.), see our guide: [docs.unsloth.ai/models/qwen3-coder-next](https://unsloth.ai/docs/models/qwen3-coder-next)
 
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