QuantumQuill is an open-source language model by Stefan171. Features: LLM, VRAM: 2.2GB, Context: 16K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18, Arc: 25.3, HellaSwag: 27.2, MMLU: 23.2.
4bit Autotrain compatible Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-b... Dataset:meta-math/metamathqa En Endpoints compatible Llama Pytorch Quantized Region:us Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/Stefan171/QuantumQuill
QuantumQuill Benchmarks
ARC: 25.34 vs 96.7 (so35)-73.8%
HellaSwag: 27.24 vs 95.3 (gpt4)-71.4%
MMLU: 23.2 vs 88.3 (so35)-73.7%
LLME Score: 0.17726
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)
QuantumQuill Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | QuantumQuill |
| Repository 🤗 | https://huggingface.co/Stefan171/QuantumQuill |
| Base Model(s) | |
| Required VRAM | 2.2 GB |
| Updated | 2025-09-23 |
| Maintainer | Stefan171 |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to QuantumQuill
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Text Chat 512K 6.0bpw H6 EXL2 | 512K / 5.2 GB | 9 | 1 |
| ... Text Chat 512K 5.0bpw H6 EXL2 | 512K / 4.4 GB | 4 | 1 |
| Slimorca Phi 3.5 | 128K / 7.6 GB | 6 | 0 |
| Phi 3.5 Instruct Vul | 128K / 7.6 GB | 7 | 0 |
| ... Text Chat 128K 6.0bpw H6 EXL2 | 128K / 5.2 GB | 5 | 1 |
| Unsloth Phi 4 4bit | 16K / 8.3 GB | 291 | 6 |
| ...ocalAI Functioncall Phi 4 V0.3 | 16K / 29.4 GB | 13 | 8 |
| ...ocalAI Functioncall Phi 4 V0.3 | 16K / 29.4 GB | 6 | 8 |
| PARM V2 Phi 4 4K CoT PyTorch | 16K / 29.4 GB | 0 | 1 |
| CodeMate V0.1 6.0bpw H6 EXL2 | 16K / 25.7 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Stefan171/QuantumQuill .
Rank the QuantumQuill 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? 53999 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a