fun creative uncensored model for chat and roleplay. good prompt follow.
try it online: https://t.me/charsaibot ollama: https://ollama.com/recoilme/recoilme-gemma2-9b-v0.5-q8_0.gguf
Use with low temp, ~0.4
merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: lemon07r/Gemma-2-Ataraxy-9B
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.25
slices:
- sources:
- layer_range: [0, 42]
model: lemon07r/Gemma-2-Ataraxy-9B
- layer_range: [0, 42]
model: TheDrummer/Gemmasutra-9B-v1
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.06 |
| IFEval (0-Shot) | 76.64 |
| BBH (3-Shot) | 42.35 |
| MATH Lvl 5 (4-Shot) | 2.11 |
| GPQA (0-shot) | 11.52 |
| MuSR (0-shot) | 12.16 |
| MMLU-PRO (5-shot) | 35.55 |
- Downloads last month
- 301
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for recoilme/recoilme-gemma-2-9B-v0.5
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard76.640
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard42.350
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard2.110
- acc_norm on GPQA (0-shot)Open LLM Leaderboard11.520
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.160
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard35.550