Autotrain compatible Base model:finetune:sakalti/qw... Base model:sakalti/qwen2.5-tes... Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-1.7B
SJT 1.7B Benchmarks
MMLU Pro: 1.48
MUSR: 7.92
BBH: 2.9
IFEval: 17.76 vs 88 (so35)-79.8%
MATH Lvl 5: 0.15
LLME Score: 0.21326
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 1.7B Parameters and Internals
| LLM Name | SJT 1.7B |
| Repository 🤗 | https://huggingface.co/Sakalti/SJT-1.7B |
| Base Model(s) | |
| Model Size | 1.7b |
| Required VRAM | 3.4 GB |
| Updated | 2025-09-27 |
| Maintainer | Sakalti |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to SJT 1.7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Saba1.5 1.7B | 128K / 3.5 GB | 6 | 0 |
Rank the SJT 1.7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124