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SmolLM2-360M-Instruct-FT
belyakoff/SmolLM2-360M-Instruct-FT
SmolLM2-360M-Instruct-FT is a text generation model from belyakoff. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
v1: SFT -- 7658aab7702e56d9f5fa3b33bf7adcdae92f536b
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1.4 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Nov 4, 2024
- Updated
- Nov 6, 2024
- SHA
- 4be0a6b6
Base models
Datasets
Model card
From the Hugging Face model README
Versions
v1: SFT -- 7658aab7702e56d9f5fa3b33bf7adcdae92f536b
Example
from transformers import AutoModelForCausalLM, AutoTokenizer
checkpoint = "belyakoff/SmolLM2-360M-Instruct-FT"
device = "cuda" # for GPU usage or "cpu" for CPU usage
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
# for multiple GPUs install accelerate and do `model = AutoModelForCausalLM.from_pretrained(checkpoint, device_map="auto")`
model = AutoModelForCausalLM.from_pretrained(checkpoint).to(device)
messages = [{"role": "user", "content": "Столица России?"}]
input_text=tokenizer.apply_chat_template(messages, tokenize=False)
print(input_text)
inputs = tokenizer.encode(input_text, return_tensors="pt").to(device)
outputs = model.generate(inputs, max_new_tokens=50, temperature=0.2, top_p=0.9, do_sample=True)
print(tokenizer.decode(outputs[0]))
# Столица России — Москва. Это один из самых известных и культурно значимых городов в мире.
Limitations
Don't change system prompt. Changing system prompt will make the model go crazy.
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Languages
- ru
- Created
- Nov 4, 2024
- Updated
- Nov 6, 2024