Quick start

ollama run mistral-small:latest

Runnable variants

Memory is a rough file-size estimate; context length, runtime and GPU offload change it.

12 of 21 matching variants shown.21 of 21 variants shown.

Tag	Type	Inputs	Digest	Download	Parameters	Quantization	Context	Est. memory	Run
22b	Typelocal	Inputstext	Digestd095cd553b04	Download13 GB	Parameters22b	QuantizationUnknown	Context128K	Est. memory≈ 16 GB	`ollama run mistral-small:22b`
22b-instruct-2409-fp16	Typelocal	Inputstext	Digest28fc9c710e5f	Download44 GB	Parameters22b	QuantizationFP16	Context128K	Est. memory≈ 50.5 GB	`ollama run mistral-small:22b-instruct-2409-fp16`
22b-instruct-2409-q2_K	Typelocal	Inputstext	Digest8ec9babc3847	Download8.3 GB	Parameters22b	QuantizationQ2_K	Context128K	Est. memory≈ 10.5 GB	`ollama run mistral-small:22b-instruct-2409-q2_K`
22b-instruct-2409-q3_K_L	Typelocal	Inputstext	Digestfe81dad8bbb0	Download12 GB	Parameters22b	QuantizationQ3_K_L	Context128K	Est. memory≈ 14.5 GB	`ollama run mistral-small:22b-instruct-2409-q3_K_L`
22b-instruct-2409-q3_K_M	Typelocal	Inputstext	Digesteaa764a8f77f	Download11 GB	Parameters22b	QuantizationQ3_K_M	Context128K	Est. memory≈ 13.5 GB	`ollama run mistral-small:22b-instruct-2409-q3_K_M`
22b-instruct-2409-q3_K_S	Typelocal	Inputstext	Digestdfaf3aefa53f	Download9.6 GB	Parameters22b	QuantizationQ3_K_S	Context128K	Est. memory≈ 12 GB	`ollama run mistral-small:22b-instruct-2409-q3_K_S`
22b-instruct-2409-q4_0	Typelocal	Inputstext	Digestd095cd553b04	Download13 GB	Parameters22b	QuantizationQ4_0	Context128K	Est. memory≈ 16 GB	`ollama run mistral-small:22b-instruct-2409-q4_0`
22b-instruct-2409-q4_1	Typelocal	Inputstext	Digest565c78387545	Download14 GB	Parameters22b	QuantizationQ4_1	Context128K	Est. memory≈ 17 GB	`ollama run mistral-small:22b-instruct-2409-q4_1`
22b-instruct-2409-q4_K_M	Typelocal	Inputstext	Digest9f552ae9b883	Download13 GB	Parameters22b	QuantizationQ4_K_M	Context128K	Est. memory≈ 16 GB	`ollama run mistral-small:22b-instruct-2409-q4_K_M`
22b-instruct-2409-q4_K_S	Typelocal	Inputstext	Digest9b3a8280f0c7	Download13 GB	Parameters22b	QuantizationQ4_K_S	Context128K	Est. memory≈ 16 GB	`ollama run mistral-small:22b-instruct-2409-q4_K_S`
22b-instruct-2409-q5_0	Typelocal	Inputstext	Digest04c315f44b8c	Download15 GB	Parameters22b	QuantizationQ5_0	Context128K	Est. memory≈ 18 GB	`ollama run mistral-small:22b-instruct-2409-q5_0`
22b-instruct-2409-q5_1	Typelocal	Inputstext	Digest5bd49ef5756a	Download17 GB	Parameters22b	QuantizationQ5_1	Context128K	Est. memory≈ 20 GB	`ollama run mistral-small:22b-instruct-2409-q5_1`
22b-instruct-2409-q5_K_M	Typelocal	Inputstext	Digesteec48ef9afdc	Download16 GB	Parameters22b	QuantizationQ5_K_M	Context128K	Est. memory≈ 19 GB	`ollama run mistral-small:22b-instruct-2409-q5_K_M`
22b-instruct-2409-q5_K_S	Typelocal	Inputstext	Digest5b4d9855bfa5	Download15 GB	Parameters22b	QuantizationQ5_K_S	Context128K	Est. memory≈ 18 GB	`ollama run mistral-small:22b-instruct-2409-q5_K_S`
22b-instruct-2409-q6_K	Typelocal	Inputstext	Digest5113380707de	Download18 GB	Parameters22b	QuantizationQ6_K	Context128K	Est. memory≈ 21.5 GB	`ollama run mistral-small:22b-instruct-2409-q6_K`
22b-instruct-2409-q8_0	Typelocal	Inputstext	Digestebe30125ec3c	Download24 GB	Parameters22b	QuantizationQ8_0	Context128K	Est. memory≈ 28 GB	`ollama run mistral-small:22b-instruct-2409-q8_0`
24b	Typelocal	Inputstext	Digest8039dd90c113	Download14 GB	Parameters24b	QuantizationUnknown	Context32K	Est. memory≈ 17 GB	`ollama run mistral-small:24b`
24b-instruct-2501-fp16	Typelocal	Inputstext	Digest6134e1a7e2c8	Download47 GB	Parameters24b	QuantizationFP16	Context32K	Est. memory≈ 54 GB	`ollama run mistral-small:24b-instruct-2501-fp16`
24b-instruct-2501-q4_K_M	Typelocal	Inputstext	Digest8039dd90c113	Download14 GB	Parameters24b	QuantizationQ4_K_M	Context32K	Est. memory≈ 17 GB	`ollama run mistral-small:24b-instruct-2501-q4_K_M`
24b-instruct-2501-q8_0	Typelocal	Inputstext	Digest20ffe5db0161	Download25 GB	Parameters24b	QuantizationQ8_0	Context32K	Est. memory≈ 29 GB	`ollama run mistral-small:24b-instruct-2501-q8_0`
latestdefault	Typelocal	Inputstext	Digest8039dd90c113	Download14 GB	ParametersUnknown	QuantizationUnknown	Context32K	Est. memory≈ 17 GB	`ollama run mistral-small:latest`

Source-listed applications

Claude CodeHermes AgentOpenClawOpenCode

Related models

ornithlocal

A self-improving family of open-source models for agentic coding

command-rlocal

Command R is a Large Language Model optimized for conversational interaction and long context tasks.

lfm2.5local

LFM2.5-8B-A1B, an edge model built for fast, reliable tool calling on consumer hardware.

rnj-1local

Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models.