Autotrain compatible Conversational Endpoints compatible Mixtral Moe Region:us Safetensors Sharded Tensorflow
StarlingMaid 2x7B Base Benchmarks
ARC: 67.15-30.3%
HellaSwag: 85-10.8%
MMLU: 65.36-24.4%
TruthfulQA: 57.98-1.7%
WinoGrande: 79.79-8.8%
GSM8K: 65.88-28.4%
nn.n% — How the model compares to the GPT-4.
StarlingMaid 2x7B Base Parameters and Internals
| LLM Name | StarlingMaid 2x7B Base |
| Repository | Open on 🤗 |
| Model Size | 12.9b |
| Required VRAM | 25.8 GB |
| Updated | 2024-07-27 |
| Maintainer | dawn17 |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to StarlingMaid 2x7B Base
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| MixTAO 7Bx2 MoE V8.1 | 0.3 | 32K / 25.8 GB | 7772 | 51 |
| T3Q MSlerp 7Bx2 | 0.3 | 32K / 51.8 GB | 311 | 0 |
| MergedExpert 2x8b | 0.3 | 32K / 25.8 GB | 266 | 0 |
| RAG KO Mixtral 7Bx2 V2.1 | 0.3 | 32K / 25.8 GB | 19252 | 8 |
| ... TomGrc FusionNet 7Bx2 MoE 13B | 0.3 | 32K / 25.8 GB | 7020 | 53 |
| DARE TIES 13B | 0.3 | 32K / 25.7 GB | 7030 | 10 |
| MultiMash12 13B Slerp | 0.3 | 32K / 25.7 GB | 252 | 0 |
| MultiMash11 13B Slerp | 0.3 | 32K / 25.7 GB | 244 | 0 |
| MultiMash10 13B Slerp | 0.3 | 32K / 25.7 GB | 241 | 0 |
| MultiMash9 13B Slerp | 0.3 | 32K / 25.7 GB | 249 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than dawn17/StarlingMaid-2x7B-base .
Rank the StarlingMaid 2x7B Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501