Model Card on HF 🤗: https://huggingface.co/RekaAI/reka-flash-3.1
Reka Flash 3.1 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)
Reka Flash 3.1 Parameters and Internals
| LLM Name | Reka Flash 3.1 |
| Repository 🤗 | https://huggingface.co/RekaAI/reka-flash-3.1 |
| Model Size | 20.9b |
| Required VRAM | 41.7 GB |
| Updated | 2025-09-23 |
| Maintainer | RekaAI |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 98304 |
| Model Max Length | 98304 |
| Transformers Version | 4.50.3 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 100352 |
| Torch Data Type | bfloat16 |
Best Alternatives to Reka Flash 3.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reka Flash 3 | 32K / 41.7 GB | 1143 | 383 |
Note: green Score (e.g. "73.2") means that the model is better than RekaAI/reka-flash-3.1 .
Rank the Reka Flash 3.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124