Devstral-Small-2-24B-Instruct-2512 — Backpack GGUF
GGUF quantizations of mistralai/Devstral-Small-2-24B-Instruct-2512, tested for llama.cpp-compatible image-and-text inference and packaged for Backpack.
Model
| Property | Value |
|---|---|
| Original model | mistralai/Devstral-Small-2-24B-Instruct-2512 |
| Original publisher | mistralai |
| Upstream revision | 55c5b41e98c2dbd21b0c8afffc540dcfc9eb5128 |
| Architecture | Mistral3ForConditionalGeneration |
| Parameters | 24,011,361,840 |
| Context length | Not declared |
| Input modalities | text, image |
| Output modalities | text |
| License | apache-2.0 |
Available packages
| Quantization | Size | Approx. RAM | Recommended for |
|---|---|---|---|
| Q4_K_M | 13.3 GiB | 21.23 GB | Most users |
| Q5_K_M | 15.6 GiB | 24.51 GB | Higher quality |
| Q8_0 | 23.3 GiB | 35.7 GB | Plenty of memory |
Memory values are estimates, not guarantees. Runtime configuration and context length change actual use.
Multimodal projector
| File | Precision | Size |
|---|---|---|
Devstral-Small-2-24B-Instruct-2512-mmproj-F16.gguf | F16 | 837.4 MiB |
The projector is required for image input and must be used with one of the language-model GGUF files above.
Backpack recommendation
Recommended: Q4_K_M. It usually offers a practical quality, size, and speed balance for local inference.
Run with llama.cpp
Using the llama.cpp revision recorded below:
llama-mtmd-cli --model Devstral-Small-2-24B-Instruct-2512-Q4_K_M.gguf --mmproj Devstral-Small-2-24B-Instruct-2512-mmproj-F16.gguf --image image.jpg --prompt "Describe this image."
Run with Backpack
These artifacts and backpack-model.yaml are prepared for the Backpack AI workspace.
Validation
| Package | Integrity | Load | Inference | Tokenizer |
|---|---|---|---|---|
| Q4_K_M | passed | passed | passed | passed |
| Q5_K_M | passed | passed | passed | passed |
| Q8_0 | passed | passed | passed | passed |
Capability qualification: code
Tested with Devstral-Small-2-24B-Instruct-2512-Q4_K_M.gguf. These are deterministic smoke tests, not benchmark scores.
| Capability | Status |
|---|---|
| chat | passed |
| code_generation | passed |
| structured_tool_arguments | passed |
| tool_calling | passed |
| multi_turn_tool_loop | passed |
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Packaged: 2026-08-30T16:36:59.071073+00:00
-
llama.cpp revision:
bdf3955159d7184f44b76091973eeff532890a35 -
SHA-256 checksums: see
checksums.sha256 -
Devstral-Small-2-24B-Instruct-2512-Q4_K_M.gguf:e78a384e8f62862fa111a0ead8ff1d8f1373f0b17d00509b5cc77e91ee960a71 -
Devstral-Small-2-24B-Instruct-2512-Q5_K_M.gguf:bc963f56b456eb681e8cc966314b7ba2919b0ac26dd514cd5fef5bff7db65706 -
Devstral-Small-2-24B-Instruct-2512-Q8_0.gguf:d8e3a8fb757957d5beb11514e37b9b907707d08be38d5e494a63e514a4b7138f -
Devstral-Small-2-24B-Instruct-2512-mmproj-F16.gguf:54fec1ceaf733d4f2ddc265c879997da7c675ade6d330f52d7e6e5f62a4738fd
Provenance
The source model was resolved to immutable revision 55c5b41e98c2dbd21b0c8afffc540dcfc9eb5128. It was converted with llama.cpp's convert_hf_to_gguf.py, including its multimodal projector, and quantized with llama-quantize; the exact tested revision is recorded above and in backpack-model.yaml.
License and attribution
Upstream declares apache-2.0. Review the upstream model card and comply with all applicable terms.
Backpack does not claim ownership of the original model. These artifacts are packaged and quantized distributions of the upstream model.
Disclaimer
Quantization can alter output quality. Memory estimates vary with runtime configuration, context length, and hardware.