ArunKr/SmolLM-135M-Instruct-manim-gguf
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language:
- en license: apache-2.0 tags:
- text-generation
- instruct
- manim
- lora
- gguf datasets:
- ArunKr/verified-data-manim basemodel: HuggingFaceTB/SmolLM-135M-Instruct libraryname: transformers pipeline_tag: text-generation ---
SmolLM-135M-Instruct-manim - Fine-tuned
This repository contains three variants of the model:
- LoRA adapters → ArunKr/SmolLM-135M-Instruct-manim-lora
- Merged FP16 weights → ArunKr/SmolLM-135M-Instruct-manim-16bit
- GGUF quantizations → ArunKr/SmolLM-135M-Instruct-manim-gguf
Training
- Base model:
HuggingFaceTB/SmolLM-135M-Instruct - Dataset:
generaleoley/manim-codegen - Method: LoRA fine-tuning with Unsloth
Quantizations
We provide f16, bf16, f32, and q8_0 GGUF files for llama.cpp / Ollama.
Usage Example
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("ArunKr/SmolLM-135M-Instruct-manim-16bit")
model = AutoModelForCausalLM.from_pretrained("ArunKr/SmolLM-135M-Instruct-manim-16bit")
print(model.generate(**tok("Hello", return_tensors="pt")))Ollama Example
ollama run ArunKr/SmolLM-135M-Instruct-manim-gguf:<file_name>.ggufwww.ollama.com
