BastiAI 2 Instruct is an open-source language model by Cartik. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.29.
Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins... Conversational Dataset:cartik/learn-bastiai-d... Instruct Qwen2 Region:us Ru Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Cartik/BastiAI-2-Instruct
BastiAI 2 Instruct Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
BastiAI 2 Instruct Parameters and Internals
| LLM Name | BastiAI 2 Instruct |
| Repository 🤗 | https://huggingface.co/Cartik/BastiAI-2-Instruct |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 6.2 GB |
| Updated | 2026-05-03 |
| Maintainer | Cartik |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ru |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 147097 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to BastiAI 2 Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Saba2 3B | 128K / 6.2 GB | 24 | 0 |
| Tessa T1 3B | 117K / 6.2 GB | 16 | 5 |
| UIGEN T1.5 3B | 117K / 6.2 GB | 11 | 1 |
| Qwen2.5 3B Instruct | 32K / 6.2 GB | 10226936 | 444 |
| SmallThinker 3B Preview | 32K / 6.8 GB | 30529 | 412 |
| FlameDesigner Qwen2.5 3B V1 | 32K / 6.2 GB | 233 | 0 |
| Qwen2.5 Coder 3B Instruct | 32K / 6.2 GB | 451109 | 101 |
| Qwen2.5 3B Instruct Heretic | 32K / 6.2 GB | 92 | 1 |
| Menda 3B 500 | 32K / 6.2 GB | 15 | 0 |
| Menda 3B 750 | 32K / 6.2 GB | 23 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Cartik/BastiAI-2-Instruct .
Rank the BastiAI 2 Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a