Autotrain compatible Custom code Dataset:knutjaegersberg/trilob... Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow
Deacon 3B Benchmarks
ARC: 39.68 vs 96.7 (so35)-59%
HellaSwag: 66.42 vs 95.3 (gpt4)-30.3%
MMLU: 27.13 vs 88.3 (so35)-69.3%
TruthfulQA: 36.07 vs 59 (gpt4)-38.9%
WinoGrande: 64.64 vs 87.5 (gpt4)-26.1%
GSM8K: 0.38 vs 96.4 (so35)-99.6%
LLME Score: 0.21586
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)
Deacon 3B Parameters and Internals
| LLM Name | Deacon 3B |
| Repository 🤗 | https://huggingface.co/KnutJaegersberg/deacon-3b |
| Model Size | 3b |
| Required VRAM | 13.7 GB |
| Updated | 2024-09-07 |
| Maintainer | KnutJaegersberg |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Deacon 3B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3.1 Mini Instruct | 128K / 6.1 GB | 60 | 0 |
| Granite 3B Code Instruct 128K | 125K / 7 GB | 282 | 2 |
| Granite 3B Code Base 128K | 125K / 7 GB | 340 | 1 |
| Openbuddy Zero 3B V21.2 32K | 32K / 9.5 GB | 44 | 2 |
| Openbuddy Zen 3B V21.1 32K | 32K / 9.5 GB | 11 | 2 |
| Mm4.more.star | 32K / 6 GB | 4 | 1 |
| Mm4.ascii.star | 32K / 6 GB | 5 | 0 |
| KoreanLM 3B | 20K / 11.4 GB | 2061 | 0 |
| Pruned Yi 3B Prerelease Ckpt01 | 16K / 6.5 GB | 83 | 1 |
| Buzz 3B Small V0.6.3 | 8K / 8.7 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/deacon-3b .
Rank the Deacon 3B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803