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Saif-1.1
Saif658/Saif-1.1
Saif-1.1 is a machine learning model from Saif658. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
An improved conversational assistant fine-tuned from Saif-1.0.
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96
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3.2B
6.4 GB on disk
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At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- May 22, 2026
- Updated
- May 22, 2026
- SHA
- d437e22f
Base models
Model card
From the Hugging Face model README
Saif-1.1
An improved conversational assistant fine-tuned from Saif-1.0.
What's New in 1.1
- Trained on Claude Opus 4.6/4.7 generated data
- Faster response times vs Saif-1.0
- Better at coding, math, and reasoning
- Cleaner, more concise answers
Model Details
- Base model: Saif658/Saif-1.0
- Fine-tuned by: Saif658
- Training: QLoRA 4-bit, 500 steps
- Dataset: angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k
- License: Apache 2.0
Benchmarks vs Saif-1.0
| Task | Saif-1.0 | Saif-1.1 |
|---|---|---|
| Prime check (Python) | ✓ slower | ✓ faster, better algo |
| Derivative (Math) | ✓ 9.64s | ✓ 3.87s |
| Factorial (JavaScript) | ✓ 15.51s | ✓ 7.72s |
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained("Saif658/Saif-1.1")
model = AutoModelForCausalLM.from_pretrained(
"Saif658/Saif-1.1",
torch_dtype=torch.float16,
device_map="auto"
)
messages = [{"role": "user", "content": "your message here"}]
inputs = tokenizer.apply_chat_template(messages, return_tensors="pt").to("cuda")
outputs = model.generate(inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Limitations
Small 3B model — may struggle with very complex reasoning or long context tasks.
- Type
- llama
- License
- apache-2.0
- Languages
- en
- Created
- May 22, 2026
- Updated
- May 22, 2026