Model Card on HF 🤗: https://huggingface.co/Delta-Vector/Austral-AFM-SFT
Austral AFM SFT 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)
Austral AFM SFT Parameters and Internals
| LLM Name | Austral AFM SFT |
| Repository 🤗 | https://huggingface.co/Delta-Vector/Austral-AFM-SFT |
| Model Size | 4.6b |
| Required VRAM | 9.3 GB |
| Updated | 2025-09-23 |
| Maintainer | Delta-Vector |
| Model Type | arcee |
| Model Files | |
| Model Architecture | ArceeForCausalLM |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.56.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128005 |
Rank the Austral AFM SFT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124