Downloads · 30 days
7
32% of all-time downloads
navflyer/shivik-m2.2
shivik-m2.2 is a machine learning model from navflyer. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
✅ Shivik-M2 (Aries infusion) — 1.1B reasoning-capable causal LM This repository contains: - model.safetensors (M2 weights) - tokenizer files (vocab.json, merges.txt, tokenizer.json) - modelingshivikm2.py (custom model…
Downloads · 30 days
7
32% of all-time downloads
All-time downloads
22
Public
Parameters
1.3B
4.9 GB on disk
Likes
0
Public
Click a slice to open those files.
.bak4.9 GB · 50%
How the weights are stored.
F321.2B · 91%
From the Hugging Face model README
✅ Shivik-M2 (Aries infusion) — 1.1B reasoning-capable causal LM
This repository contains:
modeling_shivik_m2.py (custom model class)tokenization_shivik_m1.py (custom HF-compatible Python tokenizer)build_tokenizer_fast.py, train_aries.pypip install transformers safetensors tokenizers)from transformers import AutoTokenizer, AutoModelForCausalLM
tok = AutoTokenizer.from_pretrained("ziadrone/shivik-m2-aries", trust_remote_code=True, use_fast=False)
model = AutoModelForCausalLM.from_pretrained("ziadrone/shivik-m2-aries", trust_remote_code=True)
text = "Hello <think> explain step by step </think>"
enc = tok(text, return_tensors='pt')
out = model(**enc)