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--- |
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license: apache-2.0 |
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library_name: transformers |
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language: |
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- en |
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tags: |
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- chat |
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- conversational |
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base_model: |
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- maldv/Qwentile2.5-32B-Instruct |
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- a-m-team/AM-Thinking-v1 |
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- nvidia/OpenCodeReasoning-Nemotron-32B |
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- maldv/Loqwqtus2.5-32B-Instruct |
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- trashpanda-org/QwQ-32B-Snowdrop-v0 |
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- ArliAI/QwQ-32B-ArliAI-RpR-v3 |
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pipeline_tags: |
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- text-generation |
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- conversational |
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- chat |
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--- |
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 |
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[GGUF](https://huggingface.co/mradermacher/QwentileLambda2.5-32B-Instruct-GGUF) [iMat](https://huggingface.co/mradermacher/QwentileLambda2.5-32B-Instruct-i1-GGUF) |
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# Qwentile Λ 2.5 32B Instruct |
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Qwentile Λ 2.5 32B Instruct is a *normalized denoised fourier interpolation* of the following models: |
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```yaml |
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output_base_model: "maldv/Qwentile2.5-32B-Instruct" |
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output_dtype: "bfloat16" |
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finetune_merge: |
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- { "model": "a-m-team/AM-Thinking-v1", "base": "Qwen/Qwen2.5-32B", "alpha": 0.9 } |
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- { "model": "nvidia/OpenCodeReasoning-Nemotron-32B", "base": "Qwen/Qwen2.5-32B", "alpha": 0.8, "is_input": true} |
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- { "model": "maldv/Loqwqtus2.5-32B-Instruct", "base": "Qwen/Qwen2.5-32B", "alpha": 0.9 } |
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- { "model": "trashpanda-org/QwQ-32B-Snowdrop-v0", "base": "Qwen/Qwen2.5-32B", "alpha": 0.9 } |
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- { "model": "ArliAI/QwQ-32B-ArliAI-RpR-v3", "base": "Qwen/Qwen2.5-32B", "alpha": 0.8 } |
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``` |
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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. |
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### What is this? |
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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. |
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### A <think> model? |
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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. |
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## Citation |
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If you find our work helpful, feel free to give us a cite. |
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``` |
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@misc{qwentile-labmda-2.5-32b-instruct, |
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title = {Qwentile Λ 2.5 32B Instruct}, |
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url = {https://huggingface.co/maldv/QwentileLambda2.5-32B-Instruct}, |
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author = {Praxis Maldevide}, |
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month = {May}, |
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year = {2025} |
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} |
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``` |
