Edit model card
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Quantization made by Richard Erkhov.

Github

Discord

Request more models

FrankenVillain-7B-v1 - GGUF

Original model description:

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: 0.0 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

🧩 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

πŸ’» 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
Downloads last month
1
GGUF
Model size
10.7B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model's library. Check the docs .