westKunai-XD-7b

This is a merge of pre-trained language models created using mergekit.

Quantized versions :

• GGUF

Merge Details

Models Merged

The following models were included in the merge:

• seyf1elislam/WestKunai-Hermes-7b
• seyf1elislam/KuTrix-7b

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mistralai/Mistral-7B-v0.1
    # No parameters necessary for base model
  - model: seyf1elislam/WestKunai-Hermes-7b
    parameters:
      weight: 0.75
      density: 0.65
  - model: seyf1elislam/KuTrix-7b
    parameters:
      weight: 0.25
      density: 0.65
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

Usage Example

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "seyf1elislam/Kunai-XD-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.	73.27
AI2 Reasoning Challenge (25-Shot)	71.25
HellaSwag (10-Shot)	87.59
MMLU (5-Shot)	64.69
TruthfulQA (0-shot)	67.29
Winogrande (5-shot)	82.24
GSM8k (5-shot)	66.57