Base model:finetune:sbintuitio... Base model:sbintuitions/sarash... Conversational Dataset:nurture-intelligence/i... En Instruct Ja Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/DataPilot/ArrowNeo-AME-4x3B-v0.1-MoE
ArrowNeo AME 4x3B V0.1 MoE 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)
ArrowNeo AME 4x3B V0.1 MoE Parameters and Internals
| LLM Name | ArrowNeo AME 4x3B V0.1 MoE |
| Repository 🤗 | https://huggingface.co/DataPilot/ArrowNeo-AME-4x3B-v0.1-MoE |
| Base Model(s) | |
| Model Size | 7.8b |
| Required VRAM | 15.6 GB |
| Updated | 2025-09-23 |
| Maintainer | DataPilot |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ja en |
| Model Architecture | MixtralForCausalLM |
| License | mit |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.50.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 102400 |
| Torch Data Type | bfloat16 |
Rank the ArrowNeo AME 4x3B V0.1 MoE Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124