Annealing Sft Fixed Tokenization 2 is an open-source language model by SaketR1. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K.
Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-0.8b Conversational Endpoints compatible Generated from trainer Qwen3 5 text Region:us Safetensors Sft Trl
Model Card on HF 🤗: https://huggingface.co/SaketR1/annealing-sft-fixed-tokenization-2
Annealing Sft Fixed Tokenization 2 Parameters and Internals
| LLM Name | Annealing Sft Fixed Tokenization 2 |
| Repository 🤗 | https://huggingface.co/SaketR1/annealing-sft-fixed-tokenization-2 |
| Model Name | annealing-sft-fixed-tokenization-2 |
| Base Model(s) | |
| Model Size | 0.8b |
| Required VRAM | 1.5 GB |
| Updated | 2026-03-31 |
| Maintainer | SaketR1 |
| Model Type | qwen3_5_text |
| Model Files | |
| Model Architecture | Qwen3_5ForCausalLM |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 5.3.0.dev0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 248320 |
| Errors | replace |
Best Alternatives to Annealing Sft Fixed Tokenization 2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3.5 Text 0.8B Bnb 4bit | 256K / 0.8 GB | 348 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than SaketR1/annealing-sft-fixed-tokenization-2 .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a