Edit model card

KunoichiVerse-7B

image/png

Description

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

This model uses a context window of 128k. Special thanks to Nitral-AI and MTSAIR for the models.

GGUF

Special thanks to GGUFs made by MarsupialAI

🧩 Configuration

slices:
  - sources:
      - model: Nitral-AI/Kunocchini-7b-128k-test
        layer_range: [0, 32]
      - model: MTSAIR/multi_verse_model
        layer_range: [0, 32]
merge_method: slerp
base_model: Nitral-AI/Kunocchini-7b-128k-test
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Ppoyaa/KunoichiVerse-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"])
Downloads last month
75
Safetensors
Model size
7.24B params
Tensor type
BF16
Β·
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 Ppoyaa/KunoichiVerse-7B

Merge model
this model
Merges
1 model
Quantizations
2 models

Spaces using Ppoyaa/KunoichiVerse-7B 6