RichardErkhov/mayacinka_-_yam-jom-7B-gguf

Quantization made by Richard Erkhov.

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yam-jom-7B - GGUF

• —Model creator: https://huggingface.co/mayacinka/
• —Original model: https://huggingface.co/mayacinka/yam-jom-7B/

Original model description: --- license: apache-2.0 tags:

• —merge
• —mergekit
• —lazymergekit
• —eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
• —yam-peleg/Experiment26-7B base_model:
• —eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
• —yam-peleg/Experiment26-7B model-index:
• —name: yam-jom-7B results:
• —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
• —type: accnorm value: 73.38 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=mayacinka/yam-jom-7B name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
• —type: accnorm value: 89.15 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=mayacinka/yam-jom-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: numfewshot: 5 metrics:
• —type: acc value: 64.51 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mayacinka/yam-jom-7B name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
• —type: mc2 value: 78.04 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mayacinka/yam-jom-7B name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
• —type: acc value: 84.93 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mayacinka/yam-jom-7B name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
• —type: acc value: 69.6 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=mayacinka/yam-jom-7B name: Open LLM Leaderboard ---

yam-jom-7B

yam-jom-7B is a task arithmetic merge of the following models using LazyMergekit:

• —eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
• —yam-peleg/Experiment26-7B

🧩 Configuration

models:
  - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
    parameters:
      weight: 0.35
  - model: yam-peleg/Experiment26-7B
    parameters:
      weight: 0.65
base_model: yam-peleg/Experiment26-7B
merge_method: task_arithmetic
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mayacinka/yam-jom-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