Llama2SWA is an open-source language model by Maxtimer97. Features: 1.2b LLM, VRAM: 2.5GB, Context: 128K, LLM Explorer Score: 0.19.
Model Card on HF 🤗: https://huggingface.co/Maxtimer97/Llama2SWA
Llama2SWA 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)
Llama2SWA Parameters and Internals
| LLM Name | Llama2SWA |
| Repository 🤗 | https://huggingface.co/Maxtimer97/Llama2SWA |
| Model Size | 1.2b |
| Required VRAM | 2.5 GB |
| Updated | 2026-04-21 |
| Maintainer | Maxtimer97 |
| Model Type | hymba |
| Model Files | |
| Model Architecture | HymbaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.53.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama2SWA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama2SWA512 | 128K / 2.5 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Maxtimer97/Llama2SWA .
Rank the Llama2SWA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a