FACTS.tsv

model	size	Separate Grounding Score	Separate Quality Score	Combined Score
deepseek-ai/DeepSeek-R1-Distill-Qwen-14B	14	0.817797	0.542373	0.457627
VIDraft/Gemma-3-R1984-27B	27	0.93617	0.459574	0.434043
meta-llama/Llama-3.3-70B-Instruct	70	0.842553	0.510638	0.425532
Qwen/Qwen3-30B-A3B	30	0.812766	0.540426	0.425532
Qwen/Qwen3-4B	4	0.770213	0.540426	0.425532
google/medgemma-27b-text-it	  27	0.940678	0.440678	0.419492
Qwen/Qwen3-32B	32	0.740426	0.553191	0.417021
deepseek-ai/DeepSeek-R1-0528-Qwen3-8B	8	0.834746	0.478814	0.411017
deepseek-ai/DeepSeek-R1-Distill-Llama-8B	8	0.766949	0.516949	0.40678
Qwen/Qwen3-8B	8	0.748936	0.523404	0.4
Qwen/Qwen3-14B	14	0.778723	0.502128	0.382979
google/gemma-3-27b-it	27	0.936	0.391	0.378
google/medgemma-4b-it	4	0.834746	0.423729	0.377119
Qwen/Qwen2.5-VL-32B-Instruct	32	0.621277	0.570213	0.357447
meta-llama/Llama-3.1-70B-Instruct	70	0.855932	0.389831	0.334746
google/gemma-3-12b-it	12	0.944	0.343	0.313
google/gemma-3-4b-it	4	0.9	0.33	0.3
Qwen/Qwen3-1.7B	1.7	0.702128	0.451064	0.297872
deepseek-ai/DeepSeek-R1-Distill-Qwen-7B	7	0.59322	0.449153	0.275424
Qwen/Qwen3-0.6B	0.6	0.682203	0.330508	0.266949
Qwen/Qwen2.5-7B-Instruct	7	0.731915	0.310638	0.255319
Qwen/Qwen2.5-14B-Instruct-1M	14	0.70339	0.300847	0.254237
nvidia/Llama-Nemotron-Nano-8B	8	0.576271	0.402542	0.241525
OpenScholar/Llama-3.1-OpenScholar-8B	8	0.690678	0.283898	0.241525
Qwen/Qwen2.5-7B-Instruct-1M	7	0.737288	0.271186	0.207627
nvidia/Llama-Nemotron-Nano-4B-v1.1	4	0.548936	0.340426	0.2
google/gemma-3-1b-it	1	0.65	0.28	0.19
mistralai/Ministral-8B-Instruct-2410	8	0.94	0.184	0.175
meta-llama/Llama-3.1-8B-Instruct	8	0.665254	0.194915	0.169492
mistralai/Mistral-Small-3.1-24B-Instruct-2503	24	0.953191	0.165957	0.157447
mistralai/Mistral-Small-24B-Instruct-2501	24	0.95339	0.135593	0.131356
open-thoughts/OpenThinker-7B	7	0.478814	0.152542	0.110169
PleIAs/Pleias-RAG-350M	0.35	0.236264	0.021978	0.010989
PleIAs/Pleias-RAG-1B	1	0.190476	0.037037	0