Text Generation
Transformers
Safetensors
llama
mergekit
Merge
shining-valiant
shining-valiant-2
enigma
plum
plumcode
code
valiant
valiant-labs
llama-3.1
llama-3.1-instruct
llama-3.1-instruct-8b
llama-3
llama-3-instruct
llama-3-instruct-8b
8b
code-instruct
python
science
physics
biology
chemistry
compsci
computer-science
engineering
technical
conversational
chat
instruct
Eval Results
text-generation-inference
PlumCode
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della merge method using meta-llama/Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: della
dtype: bfloat16
parameters:
normalize: true
models:
- model: ValiantLabs/Llama3.1-8B-ShiningValiant2
parameters:
density: 0.5
weight: 0.3
- model: ValiantLabs/Llama3.1-8B-Enigma
parameters:
density: 0.5
weight: 0.25
base_model: meta-llama/Llama-3.1-8B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 9.77 |
| IFEval (0-Shot) | 20.45 |
| BBH (3-Shot) | 8.50 |
| MATH Lvl 5 (4-Shot) | 2.42 |
| GPQA (0-shot) | 3.47 |
| MuSR (0-shot) | 8.97 |
| MMLU-PRO (5-shot) | 14.84 |
- Downloads last month
- 5
Model tree for sequelbox/Llama3.1-8B-PlumCode
Merge model
this model
Evaluation results
- acc on Winogrande (5-Shot)self-reported73.160
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard20.450
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard8.500
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard2.420
- acc_norm on GPQA (0-shot)Open LLM Leaderboard3.470
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.970
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard14.840