601
Total profiles
Compare 601 local LLM profiles by minimum VRAM, optimal VRAM, RTX 3090 speed, system RAM target, and whether the model is safe to run locally or better rented on cloud GPUs.
Start here if you are searching for "how much VRAM does this Ollama model need", "can it run on RTX 3090", or "which local LLM fits 24GB VRAM".
Ollama naming/source alignment date: 2026-02-24. Each profile links back to its Ollama library source.
Total profiles
Group hubs
Measured profiles
Estimated profiles
SC keywords recycled
Top curated models
| Rank | Model | Tag | VRAM Q4 | VRAM Q5 | System RAM | RTX 3090 fit | Category | Command |
|---|---|---|---|---|---|---|---|---|
| 1 | Qwen3 Coder | qwen3-coder:30b | 20GB | 22GB | 32GB+ | Comfortable | Coding | ollama run qwen3-coder:30b |
| 2 | Qwen3.6 | qwen3.6:35b | 22GB | 24GB | 32GB+ | Comfortable | Reasoning | ollama run qwen3.6:35b |
| 3 | Qwen3.5 | qwen3.5:35b | 22GB | 24GB | 32GB+ | Comfortable | Reasoning | ollama run qwen3.5:35b |
| 4 | GPT-OSS | gpt-oss:20b | 16GB | 20GB | 32GB+ | Comfortable | Reasoning | ollama run gpt-oss:20b |
| 6 | Gemma4 | gemma4:26b | 18GB | 22GB | 32GB+ | Comfortable | Multimodal / General | ollama run gemma4:26b |
| 7 | Llama 4 | llama4:16x17b | 40GB | 48GB | 64GB+ | Cloud / larger GPU | Multimodal / MoE | ollama run llama4:16x17b |
| 8 | Qwen3 | qwen3:32b | 20GB | 24GB | 32GB+ | Comfortable | Coding / Reasoning | ollama run qwen3:32b |
| 9 | Qwen3 | qwen3:14b | 12GB | 14GB | 32GB+ | Comfortable | Coding / Reasoning | ollama run qwen3:14b |
| 10 | Qwen3 | qwen3:8b | 8GB | 10GB | 16GB+ | Comfortable | Coding / Chat | ollama run qwen3:8b |
| 11 | Magistral | magistral:24b | 18GB | 22GB | 32GB+ | Comfortable | Reasoning | ollama run magistral:24b |
| 12 | Ministral 3 | ministral-3:14b | 12GB | 14GB | 32GB+ | Comfortable | Reasoning / Chat | ollama run ministral-3:14b |
| 13 | Nemotron 3 Nano | nemotron-3-nano:30b | 20GB | 24GB | 32GB+ | Comfortable | Reasoning / Chat | ollama run nemotron-3-nano:30b |
| 14 | Qwen3.5 | qwen3.5:122b | 70GB | 80GB | 128GB+ | Cloud / larger GPU | Reasoning / Large | ollama run qwen3.5:122b |
| 15 | Qwen3 Coder | qwen3-coder:480b | 215GB | 230GB | 128GB+ | Cloud / larger GPU | Coding / Large | ollama run qwen3-coder:480b |
| 16 | GPT-OSS | gpt-oss:120b | 70GB | 80GB | 128GB+ | Cloud / larger GPU | Reasoning / Large | ollama run gpt-oss:120b |
| 17 | Qwen3 VL | qwen3-vl:32b | 20GB | 24GB | 32GB+ | Comfortable | Multimodal / Vision | ollama run qwen3-vl:32b |
| 18 | Llama 3.3 | llama3.3:70b | 40GB | 48GB | 64GB+ | Cloud / larger GPU | General Chat | ollama run llama3.3:70b |
| 19 | DeepSeek-R1 | deepseek-r1:32b | 20GB | 24GB | 32GB+ | Comfortable | Reasoning / Math | ollama run deepseek-r1:32b |
| 20 | Gemma 3 | gemma3:12b | 12GB | 14GB | 32GB+ | Comfortable | Multimodal / General | ollama run gemma3:12b |
84 models
Open group507 models
Open group10 models
Open group224 models
Open group150 models
Open group14 models
Open group111 models
Open group102 models
Open group34 models
Open group72 models
Open group26 models
Open group120 models
Open group57 models
Open group60 models
Open group113 models
Open group119 models
Open group| Model | VRAM (min/optimal) | System RAM | RTX 3090 fit | 3090 tok/s | Path |
|---|---|---|---|---|---|
| Llama 4 128X17B Q4 | 418GB / 428GB | 128GB+ | Cloud / larger GPU | 1.1 | View |
| Llama 4 128X17B Q5 | 420GB / 430GB | 128GB+ | Cloud / larger GPU | 1 | View |
| Llama 4 128X17B Q8 | 424GB / 434GB | 128GB+ | Cloud / larger GPU | 0.8 | View |
| Llama 4 128X17B FP16 | 430GB / 442GB | 128GB+ | Cloud / larger GPU | 0.6 | View |
| DeepSeek-R1 671B Q4 | 418GB / 428GB | 128GB+ | Cloud / larger GPU | 1.1 | View |
| DeepSeek-R1 671B Q5 | 420GB / 430GB | 128GB+ | Cloud / larger GPU | 1 | View |
| DeepSeek-R1 671B Q8 | 424GB / 434GB | 128GB+ | Cloud / larger GPU | 0.8 | View |
| DeepSeek-R1 671B FP16 | 430GB / 442GB | 128GB+ | Cloud / larger GPU | 0.6 | View |
Top keywords feeding daily content and model page updates.
| Keyword | Clicks | Impressions | CTR | Landing |
|---|---|---|---|---|
| deepseek r1 model sizes and ram requirements | 0 | 3 | 0% | /ar/models/deepseek-r1-70b-q8/ |
| deepseek 70b q8 | 0 | 1 | 0% | /ar/models/deepseek-r1-70b-q8/ |
| deepseek coder 6.7b | 0 | 1 | 0% | /ar/models/deepseek-coder-67b-q8/ |
| deepseek-v3 vram requirements | 0 | 1 | 0% | /ar/models/deepseek-v3-671b-q8/ |
| how much vram to load llama 2 70b fp16 | 0 | 1 | 0% | /ar/models/llama2-70b-fp16/ |
| ollama llama 3 8b memory requirements | 0 | 1 | 0% | /ar/models/llama3-8b-q4/ |
| ollama qwen3 14b model size memory requirements | 0 | 1 | 0% | /ar/models/qwen3-14b-q4/ |
| ai83090 | 0 | 141 | 0% | /de/updates/ |
| vram | 0 | 6 | 0% | /de/tools/vram-calculator/ |
| cluster lokale gruppe | 0 | 3 | 0% | /de/guides/ollama-local-cluster-network/ |
| conversion trichter | 0 | 3 | 0% | /de/status/conversion-funnel/ |
| rtx 3090 vram | 0 | 3 | 0% | /de/hardware/verified-3090/ |
| vram | 0 | 3 | 0% | /de/ |
| vram testen | 0 | 3 | 0% | /de/tools/vram-calculator/ |
| 3090 vram | 0 | 2 | 0% | /de/hardware/verified-3090/ |
| rtx 3090 tokens per second | 0 | 2 | 0% | /de/hardware/verified-3090/ |
| vram benchmark | 0 | 2 | 0% | /de/ |
| vram test | 0 | 2 | 0% | /de/ |
| vram test | 0 | 2 | 0% | /de/tools/vram-calculator/ |
| vram testen | 0 | 2 | 0% | /de/ |
| vram tester | 0 | 2 | 0% | /de/ |
| vram tester | 0 | 2 | 0% | /de/tools/vram-calculator/ |
| vram testing | 0 | 2 | 0% | /de/ |
| 3090 benchmark | 0 | 1 | 0% | /de/hardware/verified-3090/ |
| cluster lokale konten | 0 | 1 | 0% | /de/guides/ollama-local-cluster-network/ |
| cuda out of memory | 0 | 1 | 0% | /de/errors/cuda-out-of-memory/ |
| qwen3-coder 30b q4 | 0 | 1 | 0% | /de/models/qwen3-coder-30b-q4/ |
| qwen4b | 0 | 1 | 0% | /de/models/qwen-4b-q8/ |
| ram rechner | 0 | 1 | 0% | /de/tools/vram-calculator/ |
| rtx 3090 benchmark | 0 | 1 | 0% | /de/hardware/verified-3090/ |
| test vram | 0 | 1 | 0% | /de/ |
| test vram | 0 | 1 | 0% | /de/tools/vram-calculator/ |
| testing vram | 0 | 1 | 0% | /de/ |
| testing vram | 0 | 1 | 0% | /de/tools/vram-calculator/ |
| vram 3090 | 0 | 1 | 0% | /de/hardware/verified-3090/ |
| vram testing | 0 | 1 | 0% | /de/tools/vram-calculator/ |
| vramtest | 0 | 1 | 0% | /de/tools/vram-calculator/ |
| ai83090 | 0 | 6033 | 0% | /en/blog/ |
| ai83090 | 0 | 4006 | 0% | /en/models/ |
| ai83090 | 0 | 2468 | 0% | /en/status/ |
| ai83090 | 0 | 1029 | 0% | /en/updates/ |
| best local llm 16gb vram | 0 | 18 | 0% | /en/blog/16gb-vram-model-selection-guide/ |
| llama4:16x17b | 0 | 7 | 0% | /en/models/llama4-16x17b-q8/ |
| 16gb vram llm | 0 | 4 | 0% | /en/blog/16gb-vram-model-selection-guide/ |
| ollama cluster | 0 | 3 | 0% | /en/guides/ollama-local-cluster-network/ |
| deepseek coder v2 hardware requirements | 0 | 2 | 0% | /en/models/deepseek-coder-v2-16b-q5/ |
| mistral nemo 12b vram requirements | 0 | 2 | 0% | /en/models/mistral-nemo-12b-q4/ |
| my vram | 0 | 2 | 0% | /en/tools/vram-calculator/ |
| qwen3 14b vram requirements | 0 | 2 | 0% | /en/models/qwen3-14b-q5/ |
| qwen3-vl-8b-instruct vram requirements | 0 | 2 | 0% | /en/models/qwen3-vl-8b-q5/ |
| rtx 4090 llm | 0 | 2 | 0% | /en/blog/rtx4090-vs-rtx3090-for-local-llm/ |
| vram benchmark | 0 | 2 | 0% | /en/ |
| vram site | 0 | 2 | 0% | /en/ |
| "gpt-oss:120b-cloud" | 0 | 1 | 0% | /en/models/gpt-oss-120b-cloud/ |
| %site.ollama.com library qwen3.5 4b 9b | 0 | 1 | 0% | /en/models/ |
| %site.ollama.com/library qwen3-coder 30b | 0 | 1 | 0% | /en/models/qwen3-coder-30b-q5/ |
| +site.ollama.com library qwen3.5 4b 9b | 0 | 1 | 0% | /en/models/ |
| 3090 local llm | 0 | 1 | 0% | /en/blog/rtx4090-vs-rtx3090-for-local-llm/ |
| 3090 ti vram | 0 | 1 | 0% | /en/hardware/verified-3090/ |
| 38077 | 0 | 1 | 0% | /en/hardware/verified-3090/ |
| apple silicon unified memory local llm vram shared memory | 0 | 1 | 0% | /en/hardware/apple-silicon-llm-guide/ |
| best llm for 16gb vram | 0 | 1 | 0% | /en/blog/16gb-vram-model-selection-guide/ |
| best llm for 16gb vram 2026 | 0 | 1 | 0% | /en/blog/16gb-vram-model-selection-guide/ |
| best local llm for 16gb vram | 0 | 1 | 0% | /en/blog/16gb-vram-model-selection-guide/ |
| best local llm model for 16gb vram | 0 | 1 | 0% | /en/blog/16gb-vram-model-selection-guide/ |
| best local model for 16gb vram | 0 | 1 | 0% | /en/blog/16gb-vram-model-selection-guide/ |
| best models for 24gb vram | 0 | 1 | 0% | /en/blog/best-24gb-vram-models-2026/ |
| best qwen for coding | 0 | 1 | 0% | /en/guides/best-coding-models/ |
| dolphin3:8b | 0 | 1 | 0% | /en/models/dolphin3-8b-q5/ |
| dolphin3:8b | 0 | 1 | 0% | /en/models/dolphin3-8b-q8/ |
| gemma 2 9b vram requirements | 0 | 1 | 0% | /en/models/gemma2-9b-q8/ |
| gemma 3 12b vram requirements | 0 | 1 | 0% | /en/models/gemma3-12b-q4/ |
| gemma 3 27b vram requirements | 0 | 1 | 0% | /en/models/gemma3-27b-q5/ |
| gpt oss 20b vram requirements | 0 | 1 | 0% | /en/models/gpt-oss-20b-fp16/ |
| https://ollama.com/library/qwen2.5-vl | 0 | 1 | 0% | /en/models/qwen25vl-7b-q5/ |
| llama 2 7b memory requirements fp16 ram vram | 0 | 1 | 0% | /en/models/ |
| local rag on laptop 2gb ram 2026 | 0 | 1 | 0% | /en/guides/best-rag-models/ |
| mixtral 8x7b vram requirements | 0 | 1 | 0% | /en/models/mixtral-8x7b-q4/ |
| ollama 16gb vram | 0 | 1 | 0% | /en/models/ |
| ollama calculator | 0 | 1 | 0% | /en/tools/vram-calculator/ |
| ollama deepseek-r1:8b model tag | 0 | 1 | 0% | /en/models/deepseek-r1-8b-q8/ |
| ollama gpu calculator | 0 | 1 | 0% | /en/tools/vram-calculator/ |
| ollama qwen2.5 14b memory requirements | 0 | 1 | 0% | /en/models/ |
| ollama qwen2.5-coder 14b model size | 0 | 1 | 0% | /en/models/qwen25-coder-14b-q5/ |
| ollama run deepseek-coder:6.7b | 0 | 1 | 0% | /en/models/deepseek-coder-67b-fp16/ |
| ollama vs vllm | 0 | 1 | 0% | /en/guides/ollama-vs-vllm-vram/ |
| q8 vs q4 | 0 | 1 | 0% | /en/tools/quantization-blind-test/ |
| qwen2.5-coder 14b vram requirements | 0 | 1 | 0% | /en/models/qwen25-coder-14b-q5/ |
| qwen2.5-vl 7b vram requirements | 0 | 1 | 0% | /en/models/qwen25vl-7b-q5/ |
| qwen2.5-vl-7b vram requirements | 0 | 1 | 0% | /en/models/qwen25vl-7b-q5/ |
| qwen2.5:1.5b ollama | 0 | 1 | 0% | /en/models/qwen25-15b-q8/ |
| qwen3.5-397b-a17b vram requirements | 0 | 1 | 0% | /en/models/qwen35-397b-a17b-cloud/ |
| qwen3.8 q4 vs q8 | 0 | 1 | 0% | /en/blog/en-tools-quantization-blind-test/ |
| rtx 3090 ti vram | 0 | 1 | 0% | /en/hardware/verified-3090/ |
| what is minimum requirement | 0 | 1 | 0% | /en/models/qwen25vl-7b-q5/ |
| yes | 0 | 1 | 0% | /en/models/gemma2-27b-fp16/ |
| どれぐらいですか | 0 | 1 | 0% | /en/models/qwen25vl-7b-q5/ |
| ai83090 | 0 | 1182 | 0% | /es/status/ |
| llama 2 7b fp16 vram requirement | 0 | 5 | 0% | /es/models/llama2-7b-fp16/ |
| rtx 3090 en 2026 | 0 | 5 | 0% | /es/blog/still-the-vram-king-rtx-3090-2026/ |
| vram | 0 | 4 | 0% | /es/ |
| vram | 0 | 4 | 0% | /es/tools/vram-calculator/ |
| rtx 3090 2026 | 0 | 3 | 0% | /es/blog/still-the-vram-king-rtx-3090-2026/ |
| how much vram needed for llama 2 7b fp16 | 0 | 2 | 0% | /es/models/llama2-7b-fp16/ |
| llama 2 7b memory requirements fp16 vram | 0 | 2 | 0% | /es/models/llama2-7b-fp16/ |
| rtx 3090 vram | 0 | 2 | 0% | /es/blog/still-the-vram-king-rtx-3090-2026/ |
| clusters locales | 0 | 1 | 0% | /es/guides/ollama-local-cluster-network/ |
| como saber mi vram | 0 | 1 | 0% | /es/ |
| como se cuanta vram tengo | 0 | 1 | 0% | /es/tools/vram-calculator/ |
| cuantificado | 0 | 1 | 0% | /es/tools/quantization-blind-test/ |
| how much vram ram needed to run llama 2 7b fp16 | 0 | 1 | 0% | /es/models/llama2-7b-fp16/ |
| llama4:16x17b | 0 | 1 | 0% | /es/hardware/verified-3090/ |
| llama4:16x17b | 0 | 1 | 0% | /es/models/ |
| llama4:16x17b | 0 | 1 | 0% | /es/status/conversion-funnel/ |
| llama4:16x17b | 0 | 1 | 0% | /es/tools/vram-calculator/ |
| llama4:16x17b | 0 | 1 | 0% | /es/updates/ |
| nvidia 3090 vram | 0 | 1 | 0% | /es/blog/still-the-vram-king-rtx-3090-2026/ |
| ollama deepseek-r1 8b model tag official | 0 | 1 | 0% | /es/models/deepseek-r1-8b-q8/ |
| ollama qwen2.5-coder 14b model size | 0 | 1 | 0% | /es/models/qwen25-coder-14b-fp16/ |
| quantifying | 0 | 1 | 0% | /es/tools/quantization-blind-test/ |
| rag list | 0 | 1 | 0% | /es/guides/best-rag-models/ |
| rtx 3090 vram | 0 | 1 | 0% | /es/hardware/verified-3090/ |
| test vram | 0 | 1 | 0% | /es/ |
| test vram | 0 | 1 | 0% | /es/tools/vram-calculator/ |
| v ram | 0 | 1 | 0% | /es/ |
| v ram | 0 | 1 | 0% | /es/tools/vram-calculator/ |
| vllm vs ollama | 0 | 1 | 0% | /es/guides/ollama-vs-vllm-vram/ |
| vram test | 0 | 1 | 0% | /es/ |
| vram test | 0 | 1 | 0% | /es/tools/vram-calculator/ |
| vrams | 0 | 1 | 0% | /es/ |
| ai83090 | 0 | 379 | 0% | /fr/updates/ |
| deepseek r1 model sizes and ram requirements | 0 | 13 | 0% | /fr/models/deepseek-r1-8b-q5/ |
| cuda out of memory | 0 | 6 | 0% | /fr/errors/cuda-out-of-memory/ |
| apple silicon llm | 0 | 4 | 0% | /fr/hardware/apple-silicon-llm-guide/ |
| ollama vs vllm | 0 | 4 | 0% | /fr/guides/ollama-vs-vllm-vram/ |
| location gpu | 0 | 3 | 0% | /fr/affiliate/cloud-gpu/ |
| local llm benchmark | 0 | 2 | 0% | /fr/blog/ |
| cuda out of memory error | 0 | 1 | 0% | /fr/errors/cuda-out-of-memory/ |
| location carte graphique | 0 | 1 | 0% | /fr/affiliate/cloud-gpu/ |
| ninfer 3090 | 0 | 1 | 0% | /fr/hardware/verified-3090/ |
| ollama qwen3 coder 30b model size | 0 | 1 | 0% | /fr/models/qwen3-coder-30b-fp16/ |
| ollama qwen3-coder 30b model size | 0 | 1 | 0% | /fr/models/qwen3-coder-30b-fp16/ |
| ollama qwen3-coder 30b size | 0 | 1 | 0% | /fr/models/qwen3-coder-30b-fp16/ |
| vram | 0 | 1 | 0% | /fr/ |
| vram | 0 | 1 | 0% | /fr/tools/vram-calculator/ |
| vram estimator | 0 | 1 | 0% | /fr/tools/vram-calculator/ |
| rtx 3090 24gb ram | 0 | 1 | 0% | /hi/models/llava-7b-q4/ |
| ai83090 | 0 | 538 | 0% | /id/updates/ |
| deepseek r1 model sizes and ram requirements | 0 | 4 | 0% | /id/models/deepseek-r1-15b-q4/ |
| ollama llama 3.1 8b ram requirements | 0 | 3 | 0% | /id/models/llama31-8b-q4/ |
| vram | 0 | 2 | 0% | /id/tools/vram-calculator/ |
| ollama llama 3 8b memory requirements | 0 | 1 | 0% | /id/models/llama3-8b-q8/ |
| ollama qwen2.5-coder 14b model size | 0 | 1 | 0% | /id/models/qwen25-coder-14b-q5/ |
| ollama qwen2.5-coder 14b size | 0 | 1 | 0% | /id/models/qwen25-coder-14b-q5/ |
| ollama qwen2.5:1.5b size | 0 | 1 | 0% | /id/models/qwen25-15b-q8/ |
| qwen3 1.7b q4 | 0 | 1 | 0% | /id/models/qwen3-17b-q4/ |
| qwen3 8b system requirements | 0 | 1 | 0% | /id/models/qwen3-8b-q5/ |
| ai83090 | 0 | 129 | 0% | /ja/blog/ |
| ai83090 | 0 | 81 | 0% | /ja/status/ |
| データ 鮮度 | 0 | 26 | 0% | /ja/status/data-freshness/ |
| データ鮮度 | 0 | 13 | 0% | /ja/status/data-freshness/ |
| cuda out of memory | 0 | 4 | 0% | /ja/errors/cuda-out-of-memory/ |
| ブラインドテスト | 0 | 3 | 0% | /ja/tools/quantization-blind-test/ |
| コンバージョンファネルとは | 0 | 2 | 0% | /ja/status/conversion-funnel/ |
| cuda error out of memory | 0 | 1 | 0% | /ja/errors/cuda-out-of-memory/ |
| gpt-oss-120b vram requirements | 0 | 1 | 0% | /ja/models/gpt-oss-120b-q5/ |
| llama 3.1 405b vram requirements | 0 | 1 | 0% | /ja/models/llama31-405b-q5/ |
| ollama qwen2.5:1.5b size | 0 | 1 | 0% | /ja/models/qwen25-15b-q5/ |
| コンバージョンファネル | 0 | 1 | 0% | /ja/status/conversion-funnel/ |
| ai83090 | 0 | 47 | 0% | /ko/blog/ |
| 데이터 신선도 | 0 | 42 | 0% | /ko/status/data-freshness/ |
| 70b q4 | 0 | 4 | 0% | /ko/models/codellama-70b-q4/ |
| 3090 vram | 0 | 3 | 0% | /ko/hardware/verified-3090/ |
| dolphin3:8b | 0 | 3 | 0% | /ko/models/dolphin3-8b-q4/ |
| qwen2.5-coder:1.5b | 0 | 2 | 0% | /ko/models/qwen25-coder-15b-q5/ |
| qwen3 14b q4 | 0 | 2 | 0% | /ko/models/qwen3-14b-q4/ |
| qwen3-14b q4 | 0 | 2 | 0% | /ko/models/qwen3-14b-q4/ |
| 블라인드 테스트 | 0 | 2 | 0% | /ko/tools/quantization-blind-test/ |
| local llm vram calculator | 1 | 1 | 100% | /ko/tools/vram-calculator/ |
| 3090 24gb vram | 0 | 1 | 0% | /ko/hardware/verified-3090/ |
| 32b | 0 | 1 | 0% | /ko/models/qwen25-coder-32b-q4/ |
| 7b q4 | 0 | 1 | 0% | /ko/models/mistral-7b-q4/ |
| cuda error out of memory | 0 | 1 | 0% | /ko/errors/cuda-out-of-memory/ |
| deepseek-coder-v2 | 0 | 1 | 0% | /ko/models/deepseek-coder-v2-16b-q4/ |
| dolphin 3 8b | 0 | 1 | 0% | /ko/models/dolphin3-8b-q4/ |
| dolphin3 8b | 0 | 1 | 0% | /ko/models/dolphin3-8b-q4/ |
| gemma4 e2b q4 | 0 | 1 | 0% | /ko/models/gemma4-e2b-q4/ |
| gpt-oss-20b q4 | 0 | 1 | 0% | /ko/models/gpt-oss-20b-q4/ |
| granite 3.1 moe | 0 | 1 | 0% | /ko/models/granite31-moe-3b-q4/ |
| llama4:16x17b | 0 | 1 | 0% | /ko/models/llama4-16x17b-fp16/ |
| mistral 7b q4 | 0 | 1 | 0% | /ko/models/mistral-7b-q4/ |
| ollama 16gb vram | 0 | 1 | 0% | /ko/hardware/16gb-vram-models/ |
| qwen2 5 coder | 0 | 1 | 0% | /ko/models/qwen25-coder-14b-fp16/ |
| qwen2 5 coder | 0 | 1 | 0% | /ko/models/qwen25-coder-15b-q5/ |
| qwen2 5 coder | 0 | 1 | 0% | /ko/models/qwen25-coder-7b-q5/ |
| qwen2.5-coder:1.5b | 0 | 1 | 0% | /ko/models/qwen25-coder-15b-fp16/ |
| qwen3 4b | 0 | 1 | 0% | /ko/models/qwen3-4b-q4/ |
| qwen3 4b | 0 | 1 | 0% | /ko/models/qwen3-4b-q8/ |
| qwen3 4b q4 | 0 | 1 | 0% | /ko/models/qwen3-4b-q4/ |
| qwen3-4b | 0 | 1 | 0% | /ko/models/qwen3-4b-q4/ |
| qwen3-4b | 0 | 1 | 0% | /ko/models/qwen3-4b-q8/ |
| qwen3-vl-2b | 0 | 1 | 0% | /ko/models/qwen3-vl-2b-cloud/ |
| rtx 3090 vram | 0 | 1 | 0% | /ko/hardware/verified-3090/ |
| rtx3090 vram | 0 | 1 | 0% | /ko/hardware/verified-3090/ |
| vram 3090 | 0 | 1 | 0% | /ko/hardware/verified-3090/ |
| vram calculator | 0 | 1 | 0% | /ko/tools/vram-calculator/ |
| vram-calculator | 0 | 1 | 0% | /ko/tools/vram-calculator/ |
| ai83090 | 0 | 355 | 0% | /pt/blog/ |
| ai83090 | 0 | 105 | 0% | /pt/status/ |
| vram | 0 | 3 | 0% | /pt/tools/vram-calculator/ |
| vram | 0 | 2 | 0% | /pt/ |
| localllama | 0 | 1 | 0% | /pt/blog/ |
| ollama qwen2.5 7b model size official | 0 | 1 | 0% | /pt/models/qwen25-7b-fp16/ |
| sim | 0 | 1 | 0% | /pt/tools/vram-calculator/ |
| v ram | 0 | 1 | 0% | /pt/ |
| v ram | 0 | 1 | 0% | /pt/tools/vram-calculator/ |
| ai83090 | 0 | 781 | 0% | /ru/updates/ |
| cuda error out of memory при майнинге | 0 | 36 | 0% | /ru/errors/cuda-out-of-memory/ |
| cuda ошибка out of memory | 0 | 24 | 0% | /ru/blog/cuda-out-of-memory-ollama-fixes-2026/ |
| cuda ошибка out of memory | 0 | 24 | 0% | /ru/errors/cuda-out-of-memory/ |
| qwen3 4b vram requirements | 0 | 3 | 0% | /ru/models/qwen3-4b-q5/ |
| vram | 0 | 3 | 0% | /ru/tools/vram-calculator/ |
| deepseek r1 model sizes and ram requirements | 0 | 2 | 0% | /ru/models/deepseek-r1-8b-q8/ |
| 3090 2026 | 0 | 1 | 0% | /ru/blog/still-the-vram-king-rtx-3090-2026/ |
| dolphin 3.0 r1 mistral 24b | 0 | 1 | 0% | /ru/tools/vram-calculator/ |
| gpt oss 120b vram requirements | 0 | 1 | 0% | /ru/models/gpt-oss-120b-cloud/ |
| gpt-oss-120b vram requirements | 0 | 1 | 0% | /ru/models/gpt-oss-120b-cloud/ |
| mixtral 8x7b vram requirements | 0 | 1 | 0% | /ru/models/mixtral-8x7b-q8/ |
| ollama deepseek-r1:8b model tag | 0 | 1 | 0% | /ru/models/deepseek-r1-8b-q8/ |
| ollama qwen3:8b size | 0 | 1 | 0% | /ru/models/qwen3-8b-q5/ |
| q4 vs q8 | 0 | 1 | 0% | /ru/blog/en-tools-quantization-blind-test/ |
| qwen3 235b vram requirements | 0 | 1 | 0% | /ru/models/qwen3-235b-q8/ |
| qwen3 32b vram requirements | 0 | 1 | 0% | /ru/models/qwen3-32b-q8/ |
| qwen3 4b requirements | 0 | 1 | 0% | /ru/models/qwen3-4b-q5/ |
| qwen3 8b vram requirements | 0 | 1 | 0% | /ru/models/qwen3-8b-q5/ |
| qwen3:8b requirements | 0 | 1 | 0% | /ru/models/qwen3-8b-q5/ |
| rtx 3090 vram | 0 | 1 | 0% | /ru/blog/still-the-vram-king-rtx-3090-2026/ |
| vram калькулятор | 0 | 1 | 0% | /ru/ |