theprint / ComputerScience-v1-2B

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Total runs: 524
24-hour runs: 0
7-day runs: 50
30-day runs: 50
Model's Last Updated: September 12 2026
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Introduction of ComputerScience-v1-2B

Model Details of ComputerScience-v1-2B

ComputerScience-v1-2B

A fine-tuned version of unsloth/Qwen3.5-2B trained on ComputerScience ML AI Chatml 7.0k 110926 train data using Auto-SFT — an automated hyperparameter search and supervised fine-tuning pipeline.

The base model was adapted to follow the style and content of the ComputerScience ML AI Chatml 7.0k 110926 train dataset. Expect improved performance on tasks similar to those represented in the training data.

Model Details
Property Value
Base model unsloth/Qwen3.5-2B
Training data data/ComputerScience-ML-AI-Chatml-7.0k-110926_train.json
Fine-tuning epochs 2
Fine-tuning date 2026-09-12
Fine-tuning method LoRA (merged to full 16-bit)
Training Hyperparameters
LoRA
Parameter Value
r 4
alpha 8
dropout 0.02
target_modules ['q_proj', 'v_proj', 'k_proj', 'o_proj', 'gate_proj', 'up_proj', 'down_proj']
Training
Parameter Value
learning_rate 0.0005
batch_size 4
gradient_accumulation_steps 1
warmup_ratio 0.0
max_seq_length 2048
quantization none
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer

model     = AutoModelForCausalLM.from_pretrained("theprint/ComputerScience-v1-2B")
tokenizer = AutoTokenizer.from_pretrained("theprint/ComputerScience-v1-2B")

Generated by Auto-SFT — automated LoRA fine-tuning with hyperparameter search.

Runs of theprint ComputerScience-v1-2B on huggingface.co

524
Total runs
0
24-hour runs
13
3-day runs
50
7-day runs
50
30-day runs

More Information About ComputerScience-v1-2B huggingface.co Model

ComputerScience-v1-2B huggingface.co

ComputerScience-v1-2B huggingface.co is an AI model on huggingface.co that provides ComputerScience-v1-2B's model effect (), which can be used instantly with this theprint ComputerScience-v1-2B model. huggingface.co supports a free trial of the ComputerScience-v1-2B model, and also provides paid use of the ComputerScience-v1-2B. Support call ComputerScience-v1-2B model through api, including Node.js, Python, http.

ComputerScience-v1-2B huggingface.co Url

https://huggingface.co/theprint/ComputerScience-v1-2B

theprint ComputerScience-v1-2B online free

ComputerScience-v1-2B huggingface.co is an online trial and call api platform, which integrates ComputerScience-v1-2B's modeling effects, including api services, and provides a free online trial of ComputerScience-v1-2B, you can try ComputerScience-v1-2B online for free by clicking the link below.

theprint ComputerScience-v1-2B online free url in huggingface.co:

https://huggingface.co/theprint/ComputerScience-v1-2B

ComputerScience-v1-2B install

ComputerScience-v1-2B is an open source model from GitHub that offers a free installation service, and any user can find ComputerScience-v1-2B on GitHub to install. At the same time, huggingface.co provides the effect of ComputerScience-v1-2B install, users can directly use ComputerScience-v1-2B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ComputerScience-v1-2B install url in huggingface.co:

https://huggingface.co/theprint/ComputerScience-v1-2B

Url of ComputerScience-v1-2B

ComputerScience-v1-2B huggingface.co Url

Provider of ComputerScience-v1-2B huggingface.co

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Total runs: 66
Run Growth: -2
Growth Rate: -3.03%
Updated:November 03 2024