jsfs11_-_TurdusTrixBeagle-DARETIES-7B-gguf

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TurdusTrixBeagle-DARETIES-7B - GGUF

• Model creator: https://huggingface.co/jsfs11/
• Original model: https://huggingface.co/jsfs11/TurdusTrixBeagle-DARETIES-7B/

Original model description:

license: cc-by-nc-4.0 tags:

• merge
• mergekit
• lazymergekit
• udkai/Turdus
• CultriX/MergeTrix-7B-v2
• mlabonne/NeuralBeagle14-7B base_model:
• udkai/Turdus
• CultriX/MergeTrix-7B-v2
• mlabonne/NeuralBeagle14-7B model-index:
• name: TurdusTrixBeagle-DARETIES-7B 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: 73.46 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/TurdusTrixBeagle-DARETIES-7B 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: 88.61 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/TurdusTrixBeagle-DARETIES-7B 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: 64.89 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/TurdusTrixBeagle-DARETIES-7B 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: 68.81 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/TurdusTrixBeagle-DARETIES-7B 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: 85.16 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/TurdusTrixBeagle-DARETIES-7B 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: 70.28 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/TurdusTrixBeagle-DARETIES-7B name: Open LLM Leaderboard

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TurdusTrixBeagle-DARETIES-7B

TurdusTrixBeagle-DARETIES-7B is a merge of the following models using LazyMergekit:

• udkai/Turdus
• CultriX/MergeTrix-7B-v2
• mlabonne/NeuralBeagle14-7B

🧩 Configuration

models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
  - model: udkai/Turdus
    parameters:
      density: 0.65
      weight: 0.4
  - model: CultriX/MergeTrix-7B-v2
    parameters:
      density: 0.45
      weight: 0.3
  - model: mlabonne/NeuralBeagle14-7B
    parameters:
      density: 0.55
      weight: 0.3
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: float16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jsfs11/TurdusTrixBeagle-DARETIES-7B"
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