--- base_model: - Sao10K/L3-8B-Stheno-v3.2 - NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS library_name: transformers tags: - mergekit - merge --- img # Update: Both version have different presents (settings) to work well Overall: Sao10K Stheno > SMaid V0.3 > SMaid V0.1 in Chai Benchmark SMaid V0.1 = Sao10K Stheno > SMaid V0.3 in my custom EQ bench (Sadness and deep thought and Depression test) Disclaimed: same seed, same character card, same scenario. 4 times try for each models. # Best of L3-8B merge series for me. I choose 2 best variants to publish. [SMaid-V0.1](https://huggingface.co/Alsebay/L3-8B-SMaid-v0.1): More smart, understand well content, more novelwriting. I like this version. SMaid-V0.3: Upgrade from v0.1. More talkative, active, energetic (wrong setting, lol). It more like Stheno in writting styles, a Stheno version have more data from LumiMaid. No V0.2 because I deleted it, it's a worst model of series. I think Stheno and Lumumaid can be like a 'ying-yang', so I combine them, lol. Have test on Chaiverse, both of them got > 1995 elo score from begining. (Thanks Sao10K let me know about ChaiVerse :) ) SMaid = Stheno (it's very good) + LumiMaid (not too good, but the writing style is good) **Recommend present (You can feedback if any setting is better)** ``` Temperature - 0.9-1.1 Min-P - 0.075-0.1 Top-K - 40-50 Top_P - 1 Repetition Penalty - 1.1 ``` --- # Below is the auto-generate by Mergekit This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS) as a base. ### Models Merged The following models were included in the merge: * [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) ### Configuration The following YAML configuration was used to produce this model: ```yaml slices: - sources: - layer_range: [0, 16] model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS parameters: density: 0.4 weight: 1.0 - layer_range: [0, 16] model: Sao10K/L3-8B-Stheno-v3.2 parameters: density: 0.6 weight: 0.9 - sources: - layer_range: [16, 32] model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS parameters: density: 0.2 weight: 0.5 - layer_range: [16, 32] model: Sao10K/L3-8B-Stheno-v3.2 parameters: density: 0.8 weight: 1.0 merge_method: dare_ties base_model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS parameters: int8_mask: true dtype: bfloat16 ```