FrankenVillain-7B-v1
FrankenVillain-7B-v1 is a Franken merge of the following models using [mergekit](https://github.com/cg123/mergekit
🧩 Configuration
slices:
- sources:
- model: jeonsworld/CarbonVillain-en-10.7B-v1
layer_range: [0, 24]
- sources:
- model: jeonsworld/CarbonVillain-en-10.7B-v1
layer_range: [8, 32]
merge_method: passthrough
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "luqmanxyz/FrankenVillain-7B-v1"
messages = [{"role": "user", "content": "What are the 3 planets closest to the sun"}]
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. | 45.34 |
AI2 Reasoning Challenge (25-Shot) | 42.75 |
HellaSwag (10-Shot) | 51.52 |
MMLU (5-Shot) | 48.60 |
TruthfulQA (0-shot) | 56.19 |
Winogrande (5-shot) | 73.01 |
GSM8k (5-shot) | 0.00 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard42.750
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard51.520
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard48.600
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard56.190
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard73.010
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000