Model Card on HF 🤗: https://huggingface.co/ChaoticNeutrals/Sekhmet_Gimmel-L3.1-8B-v0.3
Sekhmet Gimmel L3.1 8B V0.3 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)
Sekhmet Gimmel L3.1 8B V0.3 Parameters and Internals
| LLM Name | Sekhmet Gimmel L3.1 8B V0.3 |
| Repository 🤗 | https://huggingface.co/ChaoticNeutrals/Sekhmet_Gimmel-L3.1-8B-v0.3 |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-01-22 |
| Maintainer | ChaoticNeutrals |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.38.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Sekhmet Gimmel L3.1 8B V0.3
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Context / RAM |
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Likes |
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| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 6524 | 680 |
| MrRoboto ProLong 8B V4i | 1024K / 16.1 GB | 66 | 1 |
| ...o ProLongBASE Pt8 Unaligned 8B | 1024K / 16.1 GB | 24 | 0 |
| 4 | 1024K / 16.1 GB | 322 | 0 |
| Because Im Bored Nsfw1 | 1024K / 16.1 GB | 24 | 1 |
| Thor V1.4 8B DARK FICTION | 1024K / 16.1 GB | 941 | 2 |
| 16 | 1024K / 16.1 GB | 169 | 0 |
| 11 | 1024K / 16.1 GB | 113 | 0 |
| NBeerbower Narrative 8B 64K | 1024K / 16.1 GB | 14 | 1 |
| 12 | 1024K / 16.1 GB | 60 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/Sekhmet_Gimmel-L3.1-8B-v0.3 .
Rank the Sekhmet Gimmel L3.1 8B V0.3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227