L3 MoE 16x1B RP Abliterated Test Bad Quality is an open-source language model by Disya. Features: 13.6b LLM, VRAM: 27.6GB, Context: 128K, License: llama3.2, MoE, LLM Explorer Score: 0.18.
Conversational En Llama Mergekit Mixtral Mixture of experts Moe Not-for-all-audiences Region:us Roleplay Rp Safetensors Sharded Story Tensorflow Uncensored Writer
Model Card on HF 🤗: https://huggingface.co/Disya/L3-MOE-16x1B-RP-Abliterated-Test-bad-quality
L3 MoE 16x1B RP Abliterated Test Bad Quality 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)
L3 MoE 16x1B RP Abliterated Test Bad Quality Parameters and Internals
| LLM Name | L3 MoE 16x1B RP Abliterated Test Bad Quality |
| Repository 🤗 | https://huggingface.co/Disya/L3-MOE-16x1B-RP-Abliterated-Test-bad-quality |
| Model Size | 13.6b |
| Required VRAM | 27.6 GB |
| Updated | 2025-04-03 |
| Maintainer | Disya |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | llama3.2 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|begin_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Rank the L3 MoE 16x1B RP Abliterated Test Bad Quality Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a