Autotrain compatible Conversational Endpoints compatible Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/dawn17/StarlingMaid-2x7B-base
StarlingMaid 2x7B Base Benchmarks
ARC: 67.15 vs 96.7 (so35)-30.6%
HellaSwag: 85 vs 95.3 (gpt4)-10.8%
MMLU: 65.36 vs 88.3 (so35)-26%
TruthfulQA: 57.98 vs 59 (gpt4)-1.7%
WinoGrande: 79.79 vs 87.5 (gpt4)-8.8%
GSM8K: 65.88 vs 96.4 (so35)-31.7%
LLME Score: 0.17699
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)
StarlingMaid 2x7B Base Parameters and Internals
| LLM Name | StarlingMaid 2x7B Base |
| Repository 🤗 | https://huggingface.co/dawn17/StarlingMaid-2x7B-base |
| Model Size | 12.9b |
| Required VRAM | 25.8 GB |
| Updated | 2025-04-22 |
| 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 |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 5707 | 55 |
| Inf Silent Kunoichi V0.1 2x7B | 32K / 25.6 GB | 6 | 0 |
| Inf Silent Kunoichi V0.2 2x7B | 32K / 25.6 GB | 3 | 1 |
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 8760 | 52 |
| MultiMash8 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash11 13B Slerp | 32K / 25.7 GB | 6 | 0 |
| MultiMash9 13B Slerp | 32K / 25.7 GB | 6 | 0 |
| MultiMash10 13B Slerp | 32K / 25.7 GB | 9 | 0 |
| MixTaoTruthful 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| Multimash3 12B Slerp | 32K / 25.7 GB | 7 | 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 v20241227