HUGGINGFACETB · FIELD-VERIFIED

SmolLM2-1.7B-Instruct

Checked against the listed Hugging Face source repository on 2026-10-03. Unknown values are left explicit rather than inferred.

Evidence statusSource-first verified
Field evidence checked2026-10-03
Full field verification2026-10-03

MODEL INTELLIGENCE · SOURCE-FIRST

What is SmolLM2-1.7B-Instruct?

OMW evidence review3 Oct 2026

Open Model Weights records SmolLM2-1.7B-Instruct as a 1.71138B-parameter text open-weight model in the SmolLM2 family, with HuggingFaceTB listed as the developer. The checked source repository provides 10 recognized weight artifacts, format evidence for Safetensors, PyTorch, ONNX and a verified context window of 8,192 tokens. Values that are not evidenced in the checked sources remain explicitly undisclosed or unknown.

The repository declares Apache-2.0. Commercial use allowed under Apache-2.0 conditions. Open Model Weights reports the checked license evidence and classification; this is not legal advice.

Lineage metadata declares HuggingFaceTB/SmolLM2-1.7B as a related base model with the relation declared relationship. In the checked repository, training or recipe evidence is present.

DEPLOYMENT PROFILE

Weight memory, without pretending it is a deployment guarantee.

These bars visualize weight-only decimal-GB estimates. They exclude KV cache, activations, runtime overhead, optimizer state and sharding.

WEIGHT-ONLY MEMORY
BF16 / FP16~3.4 GB
FP8 / INT8~1.7 GB
INT4~0.9 GB
FIELD EVIDENCE MAP
WeightsVerified
LicenseVerified
Commercial useClassified
ContextVerified
FormatsVerified
LineageDeclared
Training recipeRecipe Or Training Files Present
Training dataNot disclosed in checked standard metadata/model card
RuntimeSource-derived · not runtime-tested

LICENSE & USE

Apache-2.0

Commercial use allowed under Apache-2.0 conditions

Declared licenseApache-2.0
ClassificationAllowed
VerificationMetadata only

This section summarizes the checked repository evidence. It is not legal advice.

LINEAGE & PROVENANCE

What the checked sources disclose — and what they do not.

Open Model Weights does not infer a hidden base model or training corpus when the checked sources do not declare one.

LINEAGE
BASE / PARENTHuggingFaceTB/SmolLM2-1.7BDeclared Relation
declared
CURRENT RECORDSmolLM2-1.7B-InstructSmolLM2
TRAINING DISCLOSURE
Training recipeRecipe Or Training Files Present
Training dataNot disclosed in checked standard metadata/model card
FamilySmolLM2

RUNTIME SIGNALS

Compatibility claims stay attached to their evidence level.

Declared and model-card-mentioned runtimes are discovery signals. They are not treated as Open Model Weights runtime tests unless explicitly measured.

DeclaredONNX Runtime
DeclaredTransformers
OMW runtime testNot performed

EVIDENCE TRAIL

Sources and observed history.

This is where the article remains auditable: source links on one side, the registry's observed change history on the other.

FIELD-BY-FIELD RECORD

Inspect the underlying evidence.

The editorial layer above summarizes only what the verified registry can support. The sections below expose the exact fields, artifacts, source links and verification states.

01 · WEIGHTS

Exact repository artifacts

Statusverified-available
Accesspublic
RepositoryHuggingFaceTB/SmolLM2-1.7B-Instruct
Recognized weight files10
Show all 10 exact weight files
HF API file listing ↗

02 · LICENSE

License & commercial use

Declared licenseApache-2.0
License IDapache-2.0
Commercial useCommercial use allowed under Apache-2.0 conditions
Repository license filesNone observed

Classification describes the checked license terms; it is not legal advice.

License / model-card evidence ↗

03 · HARDWARE

Weight-memory estimate

BF16 / FP16~3.4 GB
FP8 / INT8~1.7 GB
INT4~0.9 GB

Weight-only decimal-GB estimate from total parameter count; excludes KV cache, activations, runtime overhead, optimizer state and sharding.

04 · FORMATS

Formats & precision evidence

SafetensorsPyTorchONNX
BF16: observedFP16: observedFP8: not observedINT8: observedINT4: not observedGGUF: not observed

“Not observed” means no matching repository artifact/name/dtype signal was found; it does not prove no third-party conversion exists.

05 · LINEAGE

Base model & family

FamilySmolLM2
VariantSmolLM2-1.7B-Instruct
Declared base modelHuggingFaceTB/SmolLM2-1.7B
RelationNot declared

06 · TRAINING ASSETS

Recipe & data disclosure

Training reciperecipe-or-training-files-present · train_results.json, training_args.bin
Data disclosurenot-disclosed-in-standard-metadata-or-obvious-model-card-section
EvaluationsNot classified by automated verifier
Intermediate checkpointsNot classified by automated verifier

07 · RUNTIME SUPPORT

Declared and mentioned runtimes

Declared libraryTransformers
Declared/taggedONNX Runtime, Transformers
Mentioned in model cardNone observed
Artifact signalsONNX artifact present
Tested by Open Model WeightsNo — source-derived support only

Open Model Weights does not claim runtime compatibility unless it is declared, tagged, mentioned by the publisher, or evidenced by an artifact. No inference benchmark is implied.

08 · SOURCES

Field evidence

Primary / declared sources4
Repository revision31b70e2e869a
Source policyHow evidence is classified →

09 · VERIFICATION HISTORY

Checked, not assumed

Field-by-field verification

Checked Hugging Face API metadata, exact repository file list, model card and config when accessible.

Registry record created

Previous verification level: discovered-pending.

licenseverified
commercial useclassified
contextverified
weight filesverified
formatsverified
base modeldeclared
training reciperecipe-or-training-files-present
data disclosurenot-disclosed-in-standard-metadata-or-obvious-model-card-section
runtime supportsource-derived-not-runtime-tested