Loggenix MoE 0.3B A0.1B E3 Lr7e5 B16 4090 V5.1 Finetuned is an open-source language model by kshitijthakkar. Features: 314.6m LLM, VRAM: 0.6GB, Context: 4K, License: apache-2.0, MoE, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.19.
Agentic-ai Conversational Dataset:kshitijthakkar/loggeni... Edge-ai Endpoints compatible Finetuned From-scratch Instruct Instruction-following Low-resource Mixture-of-experts Moe Qwen3 Qwen3 moe Qwen3moe Region:us Safetensors Tool-use
Model Card on HF 🤗: https://huggingface.co/kshitijthakkar/loggenix-moe-0.3B-A0.1B-e3-lr7e5-b16-4090-v5.1-finetuned
Loggenix MoE 0.3B A0.1B E3 Lr7e5 B16 4090 V5.1 Finetuned 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)
Loggenix MoE 0.3B A0.1B E3 Lr7e5 B16 4090 V5.1 Finetuned Parameters and Internals
| LLM Name | Loggenix MoE 0.3B A0.1B E3 Lr7e5 B16 4090 V5.1 Finetuned |
| Repository 🤗 | https://huggingface.co/kshitijthakkar/loggenix-moe-0.3B-A0.1B-e3-lr7e5-b16-4090-v5.1-finetuned |
| Model Size | 314.6m |
| Required VRAM | 0.6 GB |
| Updated | 2026-07-21 |
| Maintainer | kshitijthakkar |
| Model Type | qwen3_moe |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen3MoeForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.53.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
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Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a