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README.md

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+
+---
+
+base_model:
+- nothingiisreal/L3.1-8B-Celeste-V1.5
+- Sao10K/Llama-3.1-8B-Stheno-v3.4
+- Sao10K/L3.1-8B-Niitama-v1.1
+- arcee-ai/Llama-3.1-SuperNova-Lite
+- akjindal53244/Llama-3.1-Storm-8B
+- arcee-ai/Llama-Spark
+- grimjim/Llama-3-Instruct-abliteration-LoRA-8B
+- crestf411/sunfall-peft
+- v000000/L3.1-Celestial-Stone-2x8B
+library_name: transformers
+tags:
+- merge
+- llama
+- mixtral
+- dpo
+
+---
+
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
+
+
+# QuantFactory/L3.1-Celestial-Stone-2x8B-DPO-GGUF
+This is quantized version of [v000000/L3.1-Celestial-Stone-2x8B-DPO](https://huggingface.co/v000000/L3.1-Celestial-Stone-2x8B-DPO) created using llama.cpp
+
+# Original Model Card
+
+
+> [!WARNING]
+> **Sampler:**<br>
+> Likes a low temperature due to the MoE architecture. I use 0.3 personally.
+
+# Llama-3.1-Celestial-Stone-2x8B-DPO (BF16)
+
+* *DPO Trained, Mixture of Experts (14B).*
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/lyRa7z5maTqAaa43sxC2J.png)
+
+* <b>Direct Preference Optimization run</b>
+
+----> [Q6_K](https://huggingface.co/v000000/L3.1-Celestial-Stone-2x8B-DPO-Q6_K-GGUF)
+
+---------------------------------------------------------------------------------
+
+[L3.1-Celestial-Stone-2x8B](https://huggingface.co/v000000/L3.1-Celestial-Stone-2x8B) Finetuned on Nvidia A100.
+
+0.5 Epoch completed of dataset [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1) with learning_rate=8e-6
+
+Result seems pretty good. More compliant and verbose, less sloppy and safety aligned.
+
+------------------------------------------------------------------------------
+
+*The first expert* is Instruct 405B distillation/RP vector merge <b>(Supernova-Lite, Niitama1.1, Storm)</b>
+
+*The second expert* is ERP/Reddit data merge <b>(Celeste1.5, Stheno3.4, Storm)</b>
+
+-------------------------------------------------------------------------------
+
+*The base model* is <b>Sao10k/L3.1-Stheno-3.4</b> with the <b>Sunfall LoRa 0.6.1</b> to make it understand SillyTavern prompts and storywriting better.
+
+-------------------------------------------------------------------------------
+
+*Resultant merge finetuned* on [jondurbin/gutenberg-dpo-v0.1](https://huggingface.co/datasets/jondurbin/gutenberg-dpo-v0.1).
+
+# Prompt Template:
+```bash
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{output}<|eot_id|>
+
+```