Phi 4 RRStock is an open-source language model by FINGU-AI. Features: 12.3b LLM, VRAM: 7.7GB, Context: 16K, License: mit, LLM Explorer Score: 0.25.
4-bit Bitsandbytes Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/FINGU-AI/Phi-4-RRStock
Phi 4 RRStock Benchmarks
MMLU Pro: 43.14
GPQA: 17.34
MUSR: 14.96
BBH: 48.68
IFEval: 28.55 vs 88 (so35)-67.6%
MATH Lvl 5: 5.82
LLME Score: 0.25405
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)
Phi 4 RRStock Parameters and Internals
| LLM Name | Phi 4 RRStock |
| Repository 🤗 | https://huggingface.co/FINGU-AI/Phi-4-RRStock |
| Model Size | 12.3b |
| Required VRAM | 7.7 GB |
| Updated | 2026-03-29 |
| Maintainer | FINGU-AI |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.48.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|dummy_87|> |
| Vocabulary Size | 100352 |
| Torch Data Type | float16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a