Edit model card

SciPhi-Mistral-7B-32k-Mistral-7B-Instruct-v0.2-slerp

SciPhi-Mistral-7B-32k-Mistral-7B-Instruct-v0.2-slerp is a merge of the following models:

🧩 Configuration

slices:
  - sources:
      - model: mistralai/Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
      - model: SciPhi/SciPhi-Mistral-7B-32k
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
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 = "MaziyarPanahi/SciPhi-Mistral-7B-32k-Mistral-7B-Instruct-v0.2-slerp"
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
26
Safetensors
Model size
7.24B params
Tensor type
BF16
Β·
Inference API
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 MaziyarPanahi/SciPhi-Mistral-7B-32k-Mistral-7B-Instruct-v0.2-slerp

Quantizations
1 model

Collection including MaziyarPanahi/SciPhi-Mistral-7B-32k-Mistral-7B-Instruct-v0.2-slerp