Create README.md

README.md

@@ -0,0 +1,85 @@
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-Coder-7B
+- open-r1/OlympicCoder-7B
+pipeline_tag: text-generation
+tags:
+- merge
+- programming
+- code generation
+- code
+- qwen2
+- codeqwen
+- chat
+- qwen
+- qwen-coder
+---
+
+<h2>Qwen2.5-2X11B-CODER-Dueling-Wolverines-25B-gguf</h2>
+
+<img src="duel-wolverine-coder.jpg" style="float:right; width:300px; height:500px; padding:10px;">
+
+"Ripping your programming worries to shreds... fast."
+
+Tipping the scales at 42 layers and 507 tensors... the monster lives.
+
+Two monsters in fact - in one.
+
+This is MOE model, using V1 and V2 of Wolverine-Coder 11B which is a merge of two models noted below.
+
+The MOE config gives you full access to both 11B models at full power.
+
+This MOE model generates stronger, more compact code with an enhanced understanding of your instructions 
+and follows what you tell them to the letter.
+
+Each 11B version is an overpowered - yet wickedly fast - CODING ENGINE are based on two of the best coder AIs:
+
+"Qwen2.5-Coder-7B-Instruct" 
+
+[ https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct ]
+
+and
+
+"OlympicCoder-7B"
+
+[ https://huggingface.co/open-r1/OlympicCoder-7B ]
+
+These two models are stuffed into one compact powerhouse 11BX2 merge that is stronger in performance and understanding than both donor models.
+
+There are TWO versions of this MOE model.
+
+Quants Q3_K_M and Q6_K are available at the moment, of each version.
+
+These are generated from bfloat16 source files.
+
+Final models will be generated from float32 source files, to improve performance of the MOE model further.
+
+NOTES: 
+- Each config/version will be very different from each other.
+- You can select 1 or 2 experts, default is 2 experts.
+- Due to unique setup of this moe, suggest 1-4 generations.
+- Tool Calling is supported in both versions.
+- Source(s) / full quanting to follow // full repos to follow.
+- Final model size (including layers/tensors) / config subject to change.
+
+---
+
+Config / Settings
+
+---
+
+Model is set at 32k/32768 context for these GGUFS, full quants/full repos will be 128k/131072.
+
+Requirements [Qwen 2.5 7B Coder default settings]:
+- Temp .5 to .7 (or lower)
+- topk: 20, topp: .8, minp: .05
+- rep pen: 1.1 (can be lower)
+- Jinja Template (embedded) or CHATML template.
+- A System Prompt is not required. (ran tests with blank system prompt)
+
+Refer to either "Qwen2.5-Coder-7B-Instruct" and/or "OlympicCoder-7B" repos (above) for additional settings, benchmarks and usage.
+
+---