--- license: llama3 library_name: transformers tags: - nsfw - not-for-all-audiences - llama-3 - text-generation-inference - moe - mergekit - merge --- # Llama-Salad-4x8B-V3 Changes in V3: - Uses `L3-8B-Stheno-v3.2` as the base model instead of `Meta-Llama-3-8B-Instruct` - Removed `opus-v1.2-llama-3-8b-instruct-run3.5-epoch2.5` and added `Einstein-v6.1-Llama3-8B` - Swapped `Llama-3-Soliloquy-8B-v2` for `L3-8B-Stheno-v3.2` I was clearly wrong when I said V2 would be difficult to improve on, because V3 is significantly better in just about every aspect. Stheno-v3.2 fixed all of the issues present in Stheno-v3.1, making it my favorite roleplay model and the best base model for llama-3 MoE merges. The one thing I do want to improve on is finding a better conversational model than Meta-Llama-3-8B-Instruct; it's good for that use case, but I'm sure there's a better one out there. I tried using llama-3-cat-8b-instruct-v1, but it absolutely tanked the model's situational awareness and kept making blatantly contradictory statements. # Quantization Formats **GGUF** - Static: - https://huggingface.co/mradermacher/Llama-Salad-4x8B-V3-GGUF - Imatrix: - https://huggingface.co/mradermacher/Llama-Salad-4x8B-V3-i1-GGUF # Details - **License**: [llama3](https://llama.meta.com/llama3/license/) - **Instruct Format**: [llama-3](https://llama.meta.com/docs/model-cards-and-prompt-formats/meta-llama-3/) - **Context Size**: 8K ## Models Used - [L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) - [Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) - [Llama-3-8B-Synthia-v3.5](https://huggingface.co/migtissera/Llama-3-8B-Synthia-v3.5) - [Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) ## Merge Config ```yaml base_model: Sao10K/L3-8B-Stheno-v3.2 gate_mode: hidden dtype: bfloat16 experts_per_token: 2 experts: - source_model: NousResearch/Meta-Llama-3-8B-Instruct positive_prompts: - "chat" - "conversation" - source_model: Weyaxi/Einstein-v6.1-Llama3-8B positive_prompts: - "science" - "physics" - "chemistry" - "biology" - "math" - "step-by-step" - "logical reasoning" - "multilingual" - "translation" - "language translation" - "foreign language" negative_prompts: - "programming language" - source_model: migtissera/Llama-3-8B-Synthia-v3.5 positive_prompts: - "summarize" - "paraphrase" - "list" - "explain" - "define" - "analyze" - "rephrase" - "elaborate" - "programming language" - "JavaScript" - "Python programming language" - "Rust programming language" - "C++ programming language" - "GO programming language" - "Ruby programming language" - "Haskell programming language" - "SQL query language" - "CSS markup styling language" - "code" - source_model: Sao10K/L3-8B-Stheno-v3.2 positive_prompts: - "characters" - "scene" - "roleplay" - "erotic roleplay" - "sexual fetish" - "NSFW" - "creative writing" - "storytelling" - "narration" - "narrative setting" - "narrative plot" - "narrative exposition" - "narrative theme" - "narrative climax" ```