Model Card on HF 🤗: https://huggingface.co/KoboldAI/fairseq-dense-2.7B
Fairseq Dense 2.7B Benchmarks
ARC: 33.79 vs 96.7 (so35)-65.1%
HellaSwag: 65.74 vs 95.3 (gpt4)-31%
MMLU: 26.44 vs 88.3 (so35)-70.1%
TruthfulQA: 34.57 vs 59 (gpt4)-41.4%
WinoGrande: 63.93 vs 87.5 (gpt4)-26.9%
LLME Score: 0.04695
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)
Fairseq Dense 2.7B Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Fairseq Dense 2.7B |
| Repository 🤗 | https://huggingface.co/KoboldAI/fairseq-dense-2.7B |
| Model Size | 2.7b |
| Required VRAM | 5.5 GB |
| Updated | 2025-09-23 |
| Maintainer | KoboldAI |
| Model Type | xglm |
| Model Files | |
| Supported Languages | en |
| Model Architecture | XGLMForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.17.0 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 50261 |
| Activation Function | gelu |
Best Alternatives to Fairseq Dense 2.7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Fairseq Dense 2.7B Nerys | 2K / 5.3 GB | 63 | 10 |
| Fairseq Dense 2.7B Janeway | 2K / 10.6 GB | 35 | 2 |
Rank the Fairseq Dense 2.7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124