SJT 4B is an open-source language model by Sakalti. Features: 4b LLM, VRAM: 7.6GB, Context: 146K, License: mit, LLM Explorer Score: 0.23.
Base model:finetune:sakalti/ta... Base model:sakalti/tara-3.8b-v... Conversational Dataset:hachiml/hachi-alpaca Dataset:yahma/alpaca-cleaned En Endpoints compatible Llama Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-4B
SJT 4B 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)
SJT 4B Parameters and Internals
| LLM Name | SJT 4B |
| Repository 🤗 | https://huggingface.co/Sakalti/SJT-4B |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 7.6 GB |
| Updated | 2026-05-17 |
| Maintainer | Sakalti |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 150000 |
| Model Max Length | 150000 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
Best Alternatives to SJT 4B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 4Bcpt | 256K / 8.8 GB | 5 | 0 |
| HoldMy4BKTO | 256K / 8.8 GB | 5 | 0 |
| Xgen Small 4B Instruct R | 256K / 17.7 GB | 47 | 4 |
| Xgen Small 4B Base R | 256K / 17.7 GB | 43 | 2 |
| ...lama 3.1 Nemotron Nano 4B V1.1 | 128K / 9 GB | 2929 | 114 |
| Impish LLAMA 4B | 128K / 9 GB | 1133 | 42 |
| Nemotron W 4b MagLight 0.1 | 128K / 9.2 GB | 7 | 3 |
| Loxa 4B | 128K / 16 GB | 26 | 0 |
| ...lama 3.1 Nemotron Nano 4B V1.1 | 128K / 9 GB | 2582 | 5 |
| Nemotron W 4b Halo 0.1 | 128K / 9.2 GB | 6 | 3 |
Rank the SJT 4B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a