Quick start
ollama run mistral-medium-3.5:latestRunnable variants
Memory is a rough file-size estimate; context length, runtime and GPU offload change it.
5 of 5 matching variants shown.5 of 5 variants shown.
| Tag | Type | Inputs | Digest | Download | Parameters | Quantization | Context | Est. memory | Run |
|---|---|---|---|---|---|---|---|---|---|
| 128b | Typelocal | Inputstext, image | Digest0341632adb05 | Download80 GB | Parameters128b | QuantizationUnknown | Context256K | Est. memory≈ 90.5 GB | ollama run mistral-medium-3.5:128b |
| 128b-bf16 | Typelocal | Inputstext, image | Digest03b1ca2260f6 | Download255 GB | Parameters128b | QuantizationBF16 | Context256K | Est. memory≈ 286 GB | ollama run mistral-medium-3.5:128b-bf16 |
| 128b-q4_K_M | Typelocal | Inputstext, image | Digest0341632adb05 | Download80 GB | Parameters128b | QuantizationQ4_K_M | Context256K | Est. memory≈ 90.5 GB | ollama run mistral-medium-3.5:128b-q4_K_M |
| 128b-q8_0 | Typelocal | Inputstext, image | Digest4e309f1ff6ce | Download138 GB | Parameters128b | QuantizationQ8_0 | Context256K | Est. memory≈ 155.5 GB | ollama run mistral-medium-3.5:128b-q8_0 |
| latestdefault | Typelocal | Inputstext, image | Digest0341632adb05 | Download80 GB | ParametersUnknown | QuantizationUnknown | Context256K | Est. memory≈ 90.5 GB | ollama run mistral-medium-3.5:latest |
Source-listed applications
Related models
Nemotron 3.5 Super is NVIDIA’s vision-language model for coding, reasoning, tool use, and document understanding
This experimental preview of the architecture that will underpin Qwen4.
NVIDIA Nemotron 3 Nano Omni is a multimodal large language model that unifies video, audio, image, and text understanding to support enterprise-grade Q&A, summarization, transcription, and document intelligence workflows.
Nemotron 3.5 Bolt is NVIDIA’s compact vision-language model for local coding, reasoning, and tool use.