metadata
tags:
- merge
- mergekit
- lazymergekit
- flammenai/flammen15-gutenberg-DPO-v1-7B
- Eric111/CatunaLaserPi
base_model:
- flammenai/flammen15-gutenberg-DPO-v1-7B
- Eric111/CatunaLaserPi
model-index:
- name: VisFlamCat
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 43.66
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/VisFlamCat
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 32.88
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/VisFlamCat
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 6.57
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/VisFlamCat
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 5.37
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/VisFlamCat
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 14.68
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/VisFlamCat
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 23.82
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Stark2008/VisFlamCat
name: Open LLM Leaderboard
VisFlamCat
VisFlamCat is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: Nitral-AI/Visual-LaylelemonMaidRP-7B
#no parameters necessary for base model
- model: flammenai/flammen15-gutenberg-DPO-v1-7B
parameters:
density: 0.5
weight: 0.5
- model: Eric111/CatunaLaserPi
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Nitral-AI/Visual-LaylelemonMaidRP-7B
parameters:
normalize: false
int8_mask: true
dtype: float16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Stark2008/VisFlamCat"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.16 |
| IFEval (0-Shot) | 43.66 |
| BBH (3-Shot) | 32.88 |
| MATH Lvl 5 (4-Shot) | 6.57 |
| GPQA (0-shot) | 5.37 |
| MuSR (0-shot) | 14.68 |
| MMLU-PRO (5-shot) | 23.82 |