Arxiv:2409.07146 Dataset:cerebras/slimpajama-62... En Fla Gsa Region:us Safetensors Sharded Tensorflow
Gsa 2.7B 100B 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)
Gsa 2.7B 100B Parameters and Internals
| LLM Name | Gsa 2.7B 100B |
| Repository 🤗 | https://huggingface.co/fla-hub/gsa-2.7B-100B |
| Model Size | 100b |
| Required VRAM | 5.5 GB |
| Updated | 2024-10-11 |
| Maintainer | fla-hub |
| Model Type | gsa |
| Model Files | |
| Model Architecture | GSAForCausalLM |
| License | mit |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Gsa 2.7B 100B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gsa 1.3B 100B | 2K / 2.8 GB | 48 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than fla-hub/gsa-2.7B-100B .
Rank the Gsa 2.7B 100B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803