Qwen
Collection
Alibaba Cloud-based models
•
1045 items
•
Updated
•
3
merge
This is a merge of pre-trained language models created using mergekit.
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:
slices:
- sources:
- model: huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
layer_range: [0, 32]
- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
layer_range: [0, 32]
merge_method: slerp
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 3.76 |
| IFEval (0-Shot) | 17.51 |
| BBH (3-Shot) | 1.53 |
| MATH Lvl 5 (4-Shot) | 0.00 |
| GPQA (0-shot) | 0.00 |
| MuSR (0-shot) | 1.60 |
| MMLU-PRO (5-shot) | 1.92 |
- Downloads last month
- 17
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for Triangle104/DS-R1-Distill-Q2.5-10B-Harmony
Merge model
this model
Collections including Triangle104/DS-R1-Distill-Q2.5-10B-Harmony
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard17.510
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard1.530
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.000
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.000
- acc_norm on MuSR (0-shot)Open LLM Leaderboard1.600
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard1.920