Base model:adapter:rizla/rizla... Base model:rizla/rizla-17 Dataset:noxneural/lilium alban... Endpoints compatible Generated from trainer Gguf Mixtral Peft Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/rizla/trrapi-16b
Trrapi 16B Benchmarks
ARC: 72.1 vs 96.7 (so35)-25.4%
HellaSwag: 88.88 vs 95.3 (gpt4)-6.7%
MMLU: 64.26 vs 88.3 (so35)-27.2%
TruthfulQA: 74.13 vs 59 (gpt4)25.6%
WinoGrande: 86.35 vs 87.5 (gpt4)-1.3%
GSM8K: 61.18 vs 96.4 (so35)-36.5%
LLME Score: 0.1457
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)
Trrapi 16B Parameters and Internals
| Additional Notes |
| |||||||||
| Supported Languages |
| |||||||||
| Training Details |
|
| LLM Name | Trrapi 16B |
| Repository 🤗 | https://huggingface.co/rizla/trrapi-16b |
| Base Model(s) | |
| Model Size | 16b |
| Required VRAM | 37.5 GB |
| Updated | 2025-08-19 |
| Maintainer | rizla |
| Model Type | mixtral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-nc-nd-4.0 |
| 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 | bfloat16 |
Rank the Trrapi 16B 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? 50751 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124