Loggenix MoE 0.12B A0.08B E5 Lr5e4 B16 3060 V2 Finetuned is an open-source language model by kshitijthakkar. Features: 133.4m LLM, VRAM: 0.3GB, Context: 1K, License: apache-2.0, MoE, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.19.
| LLM Name | Loggenix MoE 0.12B A0.08B E5 Lr5e4 B16 3060 V2 Finetuned |
| Repository 🤗 | https://huggingface.co/kshitijthakkar/loggenix-moe-0.12B-A0.08B-e5-lr5e4-b16-3060-v2-finetuned |
| Model Size | 133.4m |
| Required VRAM | 0.3 GB |
| Updated | 2026-05-18 |
| Maintainer | kshitijthakkar |
| Model Type | qwen3_moe |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen3MoeForCausalLM |
| License | apache-2.0 |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 0.12B A0.08B E5 Lr5e4 B4 3060 | 1K / 0.3 GB | 16 | 1 |
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