Model Card on HF 🤗: https://huggingface.co/BEE-spoke-data/mega-ar-350m-L3t-v0.08-ultraTBfw
Mega Ar 350M L3t V0.08 UltraTBfw 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)
Mega Ar 350M L3t V0.08 UltraTBfw Parameters and Internals
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| LLM Name | Mega Ar 350M L3t V0.08 UltraTBfw |
| Repository 🤗 | https://huggingface.co/BEE-spoke-data/mega-ar-350m-L3t-v0.08-ultraTBfw |
| Model Size | 350m |
| Required VRAM | 1.4 GB |
| Updated | 2026-03-03 |
| Maintainer | BEE-spoke-data |
| Model Type | mega |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MegaForCausalLM |
| License | apache-2.0 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | float32 |
Best Alternatives to Mega Ar 350M L3t V0.08 UltraTBfw
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mega Ar 350M V0.13 | 0K / 1.4 GB | 775 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than BEE-spoke-data/mega-ar-350m-L3t-v0.08-ultraTBfw .
Rank the Mega Ar 350M L3t V0.08 UltraTBfw Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124