Qwen2.5-VL-OCR-Admin-VN-v3
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View details ↗binaryHelminths
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View details ↗gemma-3-1b-it-GGUF
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View details ↗Qwen3-0.6B
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View details ↗SmolLM-135M-Instruct
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View details ↗SmolLM2-135M
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View details ↗SmolLM2-135M-Instruct
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View details ↗ABD3ID-CodeMentor
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View details ↗ABD3ID-CyberGuard-32B
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View details ↗rawda-4b-instruct
abdallah3id基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗rawda-cite-jafari-8b
abdallah3id基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗rawda-coder-30b-a3b
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View details ↗FLUX.1-dev-ControlNet-Union-Pro-2.0-fp8
ABDALLALSWAITIThis repository contains an FP8 quantized version of the Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0 model. **This is NOT a fine-tuned model** but a direct quantization of the original BFloat16 model to FP8 format for optimized inference performance. We provide an online demo. This model has been quantized from the original BFloat16 format to FP8 format using PyTorch's native FP8 support. Here are the specifics: The benefits of FP8 quantization include: - **Reduced Memory Usage**: Approximately 50% smaller model size compared to BFloat16/FP16 - **Faster Inference**: Potential speed improvements, especially on hardware with FP8 support - **Minimal Quality Loss**: Carefully calibrated quantization process to preserve output quality
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View details ↗llm_3_2_flux_prompt
ABDALLALSWAITI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗wav2vec2-quran-arabic
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View details ↗mgi-assistant-v1-qwen3-4b
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View details ↗hares-qwen2.5-3b
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View details ↗ModernBERT-base-doc_en-Cefr
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View details ↗ModernBERT-base-reference_AllLang2-Cefr2
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View details ↗No matching models
Adjust provider, category or input/output filters. New models are added continuously.
COST EXPLORER
Great models. Clear costs.
Adjust monthly token usage to compare estimated API costs.
1 M = 1 million tokens · USD
Compares base text-token rates within the same channel
Compares base text-token rates within the same channel
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
MODEL HANDBOOK
Understand before you choose
How should API prices be compared?+
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Do open weights mean free commercial use?+
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Is the top-ranked model the best for me?+
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.