MoEv4Config-TestWeightedTIES-7b

MoEv4Config-TestWeightedTIES-7b is a merge of the following models using LazyMergekit:

🧩 Configuration

models:
  - model: Kukedlc/NeuTrixOmniBe-7B-model-remix
    # No parameters necessary for base model
  - model: Kukedlc/NeuTrixOmniBe-7B-model-remix
    parameters:
      density: [1, 0.7, 0.1]
      weight: [0, 0.3, 0.7, 1]
  - model: PetroGPT/WestSeverus-7B-DPO
    parameters:
      density: [1, 0.7, 0.3]
      weight: [0, 0.25, 0.5, 1]
  - model: vanillaOVO/supermario_v4
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: Kukedlc/NeuTrixOmniBe-7B-model-remix
parameters:
  int8_mask: true
  normalize: true
  sparsify:
    - filter: mlp
      value: 0.5
    - filter: self_attn
      value: 0.5
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "jsfs11/MoEv4Config-TestWeightedTIES-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

Metric Value
Avg. 75.39
AI2 Reasoning Challenge (25-Shot) 71.59
HellaSwag (10-Shot) 88.19
MMLU (5-Shot) 65.07
TruthfulQA (0-shot) 70.87
Winogrande (5-shot) 83.82
GSM8k (5-shot) 72.78
Downloads last month
82
Safetensors
Model size
7.24B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for jsfs11/MoEv4Config-TestWeightedTIES-7b

Evaluation results