Manbasya 2x7b MoE is an open-source language model by arlineka. Features: 2b LLM, VRAM: 7.1GB, Context: 32K, License: apache-2.0, MoE, LLM Explorer Score: 0.12.
Model Card on HF 🤗: https://huggingface.co/arlineka/manbasya_2x7b_MOE
Manbasya 2x7b 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)
Manbasya 2x7b MoE Parameters and Internals
| Model Type |
| |||||||||
| Input Output |
|
| LLM Name | Manbasya 2x7b MoE |
| Repository 🤗 | https://huggingface.co/arlineka/manbasya_2x7b_MOE |
| Model Size | 2b |
| Required VRAM | 7.1 GB |
| Updated | 2025-12-10 |
| Maintainer | arlineka |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Manbasya 2x7b MoE
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...r Dolphin Mixtral 2x7b DPO AWQ | 32K / 7.1 GB | 6 | 1 |
| Mixtral 7Bx2 MoE AWQ | 32K / 7.1 GB | 8 | 2 |
Rank the Manbasya 2x7b MoE 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? 52758 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a