Benchmarks1y ago
qwen2.5 - GAIA
GAIA score 4.7 from rft-2
View sourceAndycurrent
Qwen2.5-VL-7B-Abliterated-Caption-it_GGUF is a open-weight Andycurrent llm model with a 131,072 token context window.
Running this yourself: consumer gpu should be enough.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
---
Quality Score
---
Arena ELO
7B
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
12 of 22 public signals
Sign in to join the discussion
0
Downloads
0
Likes
Dec 2025
Released
2/5 signals
2/4 signals
4/5 signals
2/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
2
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
GAIA score 4.7 from rft-2
View sourceGAIA score 4.7 from rft-2
View sourceQwen2.5-VL-7B-Abliterated-Caption-it_GGUF is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
Qwen2.5-VL-7B-Abliterated-Caption-it_GGUF is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.