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SmolLM2-1.7B-Instruct-GGUF
backpack-run/SmolLM2-1.7B-Instruct-GGUF
SmolLM2-1.7B-Instruct-GGUF is a machine learning model from backpack-run. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
GGUF quantizations of HuggingFaceTB/SmolLM2-1.7B-Instruct, tested for llama.cpp-compatible inference and packaged for Backpack.
All-time downloads
570
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Repo size
4.1 GB
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5
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Repo makeup
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.gguf4.1 GB · 100%
At a glance
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Aug 22, 2026
- Updated
- Sep 4, 2026
- SHA
- ed777278
Base models
Model card
From the Hugging Face model README
SmolLM2-1.7B-Instruct — Backpack GGUF
GGUF quantizations of HuggingFaceTB/SmolLM2-1.7B-Instruct, tested for llama.cpp-compatible inference and packaged for Backpack.
Model
| Property | Value |
|---|---|
| Original model | HuggingFaceTB/SmolLM2-1.7B-Instruct |
| Original publisher | HuggingFaceTB |
| Upstream revision | 31b70e2e869a7173562077fd711b654946d38674 |
| Architecture | LlamaForCausalLM |
| Parameters | 1,711,376,384 |
| Context length | 8,192 |
| License | apache-2.0 |
Available packages
| Quantization | Size | Approx. RAM | Recommended for |
|---|---|---|---|
| Q4_K_M | 1006.7 MiB | 2.43 GB | Most users |
| Q5_K_M | 1.1 GiB | 2.65 GB | Higher quality |
| Q8_0 | 1.7 GiB | 3.46 GB | Plenty of memory |
Memory values are estimates, not guarantees. Runtime configuration and context length change actual use.
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-cli --model SmolLM2-1.7B-Instruct-Q4_K_M.gguf --conversation
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 |
-
Packaged: 2026-08-22T16:19:59.672602+00:00
-
llama.cpp revision:
de699957b92f490efebad149665b0dccf127eaff -
SHA-256 checksums: see
checksums.sha256 -
SmolLM2-1.7B-Instruct-Q4_K_M.gguf:5ac93b9ab47d7b3069282f1cef65e1534e68b2c97d1ec129288bc792fa33ec5c -
SmolLM2-1.7B-Instruct-Q5_K_M.gguf:a2fdd913de171cea397f3c876e9b23af9a899491e0dd32958affa2ec44c5d99c -
SmolLM2-1.7B-Instruct-Q8_0.gguf:af66f269a1a77bd0b0df4f5a123b96582f1dac700b7846e0880b3eb54fa4f563
Provenance
The source model was resolved to immutable revision 31b70e2e869a7173562077fd711b654946d38674. It was converted with llama.cpp's convert_hf_to_gguf.py 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.
- Library
- gguf
- License
- apache-2.0
- Created
- Aug 22, 2026
- Updated
- Sep 4, 2026