977510a95d
Model: RichardErkhov/ChaoticNeutrals_-_Prima-LelantaclesV4-7b-16k-bf16-gguf Source: Original Platform
Quantization made by Richard Erkhov.
Prima-LelantaclesV4-7b-16k-bf16 - GGUF
- Model creator: https://huggingface.co/ChaoticNeutrals/
- Original model: https://huggingface.co/ChaoticNeutrals/Prima-LelantaclesV4-7b-16k-bf16/
Original model description:
license: other library_name: transformers tags:
- mergekit
- merge base_model:
- Test157t/Yarncules-7b-128k
- Test157t/Prima-LelantaclesV3-7b model-index:
- name: Prima-LelantaclesV4-7b-16k-bf16
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm value: 66.04 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV4-7b-16k-bf16 name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm value: 85.07 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV4-7b-16k-bf16 name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc value: 64.7 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV4-7b-16k-bf16 name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2 value: 54.76 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV4-7b-16k-bf16 name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc value: 80.27 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV4-7b-16k-bf16 name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc value: 58.83 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV4-7b-16k-bf16 name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
Quants Thanks to @Lewdiculous :https://huggingface.co/Lewdiculous/Prima-LelantaclesV4-7b-16k-GGUF
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Test157t/Yarncules-7b-128k
layer_range: [0, 32]
- model: Test157t/Prima-LelantaclesV3-7b
layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Prima-LelantaclesV3-7b
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. | 68.28 |
| AI2 Reasoning Challenge (25-Shot) | 66.04 |
| HellaSwag (10-Shot) | 85.07 |
| MMLU (5-Shot) | 64.70 |
| TruthfulQA (0-shot) | 54.76 |
| Winogrande (5-shot) | 80.27 |
| GSM8k (5-shot) | 58.83 |