Autotrain compatible Conversational Endpoints compatible Instruct Mixtral Moe Not-for-all-audiences Region:us Safetensors Sharded Tensorflow
L3 Arcania 4x8b Benchmarks
ARC: 62.12 vs 96.7 (so35)-35.8%
HellaSwag: 82.72 vs 95.3 (gpt4)-13.2%
MMLU: 66.86 vs 88.3 (so35)-24.3%
TruthfulQA: 53.09 vs 59 (gpt4)-10%
WinoGrande: 77.9 vs 87.5 (gpt4)-11%
GSM8K: 62.55 vs 96.4 (so35)-35.1%
LLME Score: 0.23875
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)
L3 Arcania 4x8b Parameters and Internals
| LLM Name | L3 Arcania 4x8b |
| Repository 🤗 | https://huggingface.co/Steelskull/L3-Arcania-4x8b |
| Model Size | 24.9b |
| Required VRAM | 50 GB |
| Updated | 2024-09-16 |
| Maintainer | Steelskull |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | llama3 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|begin_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to L3 Arcania 4x8b
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ama 3 Aplite Instruct 4x8B MoE | 8K / 50 GB | 61 | 38 |
| Llama 3 8B Instruct MoE 2 | 8K / 50 GB | 6 | 0 |
| Llama 3 4x8B | 8K / 49.9 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Steelskull/L3-Arcania-4x8b .
Rank the L3 Arcania 4x8b Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 35926 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803