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trl-internal-testing

tiny-Lfm2ForCausalLM

Can I run tiny-Lfm2ForCausalLM on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 7 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

tiny-Lfm2ForCausalLM is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: 9009f3f8bad23dbd483b8baf9554731f3a85359534b5e2a90ec5753063046337. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

Try browser chat with a small demo model (a separate model; device support is checked before loading).

trl-internal-testing/tiny-Lfm2ForCausalLM
Model details
text generationLicense: unknownSHA-256 recorded for 7 of 9 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: tags, task, cardMetadata.pipelineTag.

7 hosted of 9 listed

Hashes recorded. Date not recorded.

FileTailleSHA-256SourceTélécharger
Weights
model.safetensors Default1.05 MB
9009f3f8…630463379009f3f8bad23dbd483b8baf9554731f3a85359534b5e2a90ec5753063046337
HostedTélécharger
Tokenizer & config
chat_template.jinja1.38 KB
cef18740…945273cfcef187400d62a59507aab3a642ea9a8d2a2ef263562bc3430560e116945273cf
HostedTélécharger
config.json682 bytes
742d1132…667ae453742d113240d60586ab2541333a575b0827254b0c9ff646249ddc8151667ae453
HostedTélécharger
generation_config.json132 bytes
a84d3ee8…ce148ccea84d3ee82caad37161dff200c1ee939acd2069c23843eef315f3756fce148cce
HostedTélécharger
special_tokens_map.json434 bytes
742aefe2…b591b6f4742aefe2b7dec496e8caffdba03a75d0c1a9925d53bd3f3e0d388c96b591b6f4
HostedTélécharger
tokenizer.json4.73 MB
98cff83b…5448f40b98cff83b4f6d7e9d8929bebc62b07e92cf1b3f99c80d16bafe8b84a75448f40b
HostedTélécharger
tokenizer_config.json91.6 KB
ceffb645…93e7c382ceffb645ed82973bdfa5fa663de6f83d2ce6f18df8bf16a6315cc62b93e7c382
HostedTélécharger
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md175 bytes—Upstream onlyFile metadata

Vérifier un téléchargement

In the folder where you saved model.safetensors, run:

macOS
shasum -a 256 -- 'model.safetensors'
Linux
sha256sum -- 'model.safetensors'
Windows
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.