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RichardErkhov/
mayacinka_-_West-Ramen-7Bx4-gguf

Name: mayacinka_-_West-Ramen-7Bx4-gguf
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West-Ramen-7Bx4 - GGUF

Model creator: https://huggingface.co/mayacinka/
Original model: https://huggingface.co/mayacinka/West-Ramen-7Bx4/

Name	Quant method	Size
West-Ramen-7Bx4.Q2_K.gguf	Q2_K	8.24GB
West-Ramen-7Bx4.IQ3_XS.gguf	IQ3_XS	9.21GB
West-Ramen-7Bx4.IQ3_S.gguf	IQ3_S	9.73GB
West-Ramen-7Bx4.Q3_K_S.gguf	Q3_K_S	9.72GB
West-Ramen-7Bx4.IQ3_M.gguf	IQ3_M	9.92GB
West-Ramen-7Bx4.Q3_K.gguf	Q3_K	10.79GB
West-Ramen-7Bx4.Q3_K_M.gguf	Q3_K_M	10.79GB
West-Ramen-7Bx4.Q3_K_L.gguf	Q3_K_L	11.68GB
West-Ramen-7Bx4.IQ4_XS.gguf	IQ4_XS	12.15GB
West-Ramen-7Bx4.Q4_0.gguf	Q4_0	12.69GB
West-Ramen-7Bx4.IQ4_NL.gguf	IQ4_NL	12.81GB
West-Ramen-7Bx4.Q4_K_S.gguf	Q4_K_S	12.8GB
West-Ramen-7Bx4.Q4_K.gguf	Q4_K	13.61GB
West-Ramen-7Bx4.Q4_K_M.gguf	Q4_K_M	13.61GB
West-Ramen-7Bx4.Q4_1.gguf	Q4_1	14.09GB
West-Ramen-7Bx4.Q5_0.gguf	Q5_0	15.48GB
West-Ramen-7Bx4.Q5_K_S.gguf	Q5_K_S	15.48GB
West-Ramen-7Bx4.Q5_K.gguf	Q5_K	15.96GB
West-Ramen-7Bx4.Q5_K_M.gguf	Q5_K_M	15.96GB
West-Ramen-7Bx4.Q5_1.gguf	Q5_1	16.88GB
West-Ramen-7Bx4.Q6_K.gguf	Q6_K	18.46GB
West-Ramen-7Bx4.Q8_0.gguf	Q8_0	23.9GB

Original model description:

license: apache-2.0 model-index:

name: West-Ramen-7Bx4 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: 67.58 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mayacinka/West-Ramen-7Bx4 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: 85.52 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mayacinka/West-Ramen-7Bx4 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: 62.69 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mayacinka/West-Ramen-7Bx4 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: 61.0 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mayacinka/West-Ramen-7Bx4 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: 81.22 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mayacinka/West-Ramen-7Bx4 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: 58.0 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mayacinka/West-Ramen-7Bx4 name: Open LLM Leaderboard

🧩 Configuration

yaml

base_model: /home/Ubuntu/Desktop/mergekit/models/Mistral-7B-Instruct-v0.2
gate_mode: hidden 
dtype: bfloat16 
experts:
  - source_model: /home/Ubuntu/Desktop/mergekit/models/Mistral-7B-Instruct-v0.2
    positive_prompts:
      - "instructions"
      - "concise"
      - "straightforward"
      - "helpful"
      - "assistant"
    negative_prompts:
      - "vague"
      - "inaccurate"
      - "verbose"
      - "complicated"
      - "speculative"
  - source_model: /home/Ubuntu/Desktop/mergekit/models/NeuralOmniWestBeaglake-7B
    positive_prompts:
      - "storytelling"
      - "role play"
      - "imagine"
      - "artistic"
      - "narrative"
  - source_model: /home/Ubuntu/Desktop/mergekit/models/Kunoichi-DPO-v2-7B
    positive_prompts:
      - "reason"
      - "think step by step"
      - "logic"
      - "knowledge"
    negative_prompts:
      - "artistic"
      - "speculative"
      - "playful"
  - source_model: /home/Ubuntu/Desktop/mergekit/models/Starling-LM-7B-alpha
    positive_prompts:
      - "code"
      - "python"
      - "javascript"
      - "react"
      - "clear"
      - "programming"
    negative_prompts:
      - "error"
      - "art"
      - "role play"

💻 Usage

python

!pip install -qU transformers bitsandbytes accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mayacinka/West-Ramen-7Bx4"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)

messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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.	69.33
AI2 Reasoning Challenge (25-Shot)	67.58
HellaSwag (10-Shot)	85.52
MMLU (5-Shot)	62.69
TruthfulQA (0-shot)	61.00
Winogrande (5-shot)	81.22
GSM8k (5-shot)	58.00

RichardErkhov/mayacinka_-_West-Ramen-7Bx4-gguf

Original model description:

🧩 Configuration

💻 Usage

Open LLM Leaderboard Evaluation Results

RichardErkhov/
mayacinka_-_West-Ramen-7Bx4-gguf