README.md

metadata

license: apache-2.0
tags:
  - merge
  - mergekit
  - jeonsworld/CarbonVillain-en-10.7B-v1
  - jeonsworld/CarbonVillain-en-10.7B-v1
base_model:
  - jeonsworld/CarbonVillain-en-10.7B-v1
  - jeonsworld/CarbonVillain-en-10.7B-v1
model-index:
  - name: FrankenVillain-7B-v1
    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: 42.75
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1
          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: 51.52
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1
          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: 48.6
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1
          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: 56.19
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1
          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: 73.01
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1
          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: 0
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/FrankenVillain-7B-v1
          name: Open LLM Leaderboard

FrankenVillain-7B-v1

FrankenVillain-7B-v1 is a Franken merge of the following models using [mergekit](https://github.com/cg123/mergekit

• jeonsworld/CarbonVillain-en-10.7B-v1
• jeonsworld/CarbonVillain-en-10.7B-v1

🧩 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