Autotrain compatible Base model:finetune:sakalti/qw... Base model:sakalti/qwen2.5-2.3... Conversational Dpo En Endpoints compatible Qwen2 Region:us Safetensors Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-2.3B
SJT 2.3B 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 2.3B Parameters and Internals
| LLM Name | SJT 2.3B |
| Repository 🤗 | https://huggingface.co/Sakalti/SJT-2.3B |
| Base Model(s) | |
| Model Size | 2.3b |
| Required VRAM | 4.7 GB |
| Updated | 2025-08-30 |
| 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 2.3B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Viper Coder V1.1 4bit | 32K / 8.3 GB | 11 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-2.3B .
Rank the SJT 2.3B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124