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README.md

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+---
+license: apache-2.0
+library_name: transformers
+language:
+- en
+tags:
+- chat
+- conversational
+base_model:
+- maldv/Qwentile2.5-32B-Instruct
+- a-m-team/AM-Thinking-v1
+- nvidia/OpenCodeReasoning-Nemotron-32B
+- maldv/Loqwqtus2.5-32B-Instruct
+- trashpanda-org/QwQ-32B-Snowdrop-v0
+- ArliAI/QwQ-32B-ArliAI-RpR-v3
+pipeline_tags:
+- text-generation
+- conversational
+- chat
+
+---
+### exl3 quant
+---
+### check revisions for quants
+---
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65b19c1b098c85365af5a83e/nJ7JqRPXgIthnMl6YZ8zt.png)
+
+[GGUF](https://huggingface.co/mradermacher/QwentileLambda2.5-32B-Instruct-GGUF) [iMat](https://huggingface.co/mradermacher/QwentileLambda2.5-32B-Instruct-i1-GGUF)
+
+# Qwentile Λ 2.5 32B Instruct
+
+Qwentile Λ 2.5 32B Instruct is a *normalized denoised fourier interpolation* of the following models:
+
+```yaml
+output_base_model: "maldv/Qwentile2.5-32B-Instruct"
+output_dtype: "bfloat16"
+finetune_merge:
+  - { "model": "a-m-team/AM-Thinking-v1", "base": "Qwen/Qwen2.5-32B", "alpha": 0.9 }
+  - { "model": "nvidia/OpenCodeReasoning-Nemotron-32B", "base": "Qwen/Qwen2.5-32B", "alpha": 0.8, "is_input": true}
+  - { "model": "maldv/Loqwqtus2.5-32B-Instruct", "base": "Qwen/Qwen2.5-32B", "alpha": 0.9 }
+  - { "model": "trashpanda-org/QwQ-32B-Snowdrop-v0", "base": "Qwen/Qwen2.5-32B", "alpha": 0.9 }
+  - { "model": "ArliAI/QwQ-32B-ArliAI-RpR-v3", "base": "Qwen/Qwen2.5-32B", "alpha": 0.8 }
+```
+
+In other words, all of these models get warped and interpolated in signal space, and then jammed back on top of the base model (which in this case was Qwentile2.5-32B-Instruct); but with the Nemotron OpenCodeReasoning input layer.
+
+### What is this?
+
+The latest in my series of Qwen 2.5 merges. Some really good models have been released recently, so I folded them in with Qwentile as the base. It should exhibit superior thinking skills, and perhaps even some code ability. I was satisfied with QReasoner2.5-32B-Instruct for advanced reasoning, but I suspect this will be an improvement.
+
+### A <think> model?
+
+No, oddly enough, given it's lineage I thought for sure it would be a thought model, but instead it blends thought with it's creative output almost seamlessly. The combination is pretty powerful in my initial tests.
+
+## Citation
+
+If you find our work helpful, feel free to give us a cite.
+
+```
+@misc{qwentile-labmda-2.5-32b-instruct,
+    title = {Qwentile Λ 2.5 32B Instruct},
+    url = {https://huggingface.co/maldv/QwentileLambda2.5-32B-Instruct},
+    author = {Praxis Maldevide},
+    month = {May},
+    year = {2025}
+}
+```