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LiquidAI

LFM2.5-230M

Chat
What we checked

File: check availability in Files.

Memory: Fit unknown. File size needed to check fit.

Last recorded run: none for this selected file.

License FFiles CRuns F

Recorded checks do not guarantee safety or performance on your computer.

See file checks and sources
Model details
Chat & writeLicense: Custom licenseSHA-256 recorded for 7 of 10 filessafetensors
Can I run it?View as JSON →
Quick answer: compatibility and sources

Can I run LFM2.5-230M on my computer?

It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

LFM2.5-230M 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: f630da86651136c9aee893b04b7542007e90fdd718355358e57e7ecc31517cfd. 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.

Page text updated .

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

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-liquidai-lfm2-5-230m.
  • Open /artifact/hf-model-liquidai-lfm2-5-230m/files for exact filenames, availability and any recorded SHA-256 for this model.
  • Open /evidence/artifacts/hf-model-liquidai-lfm2-5-230m for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-liquidai-lfm2-5-230m/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

Requirements and source record

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

LiquidAI/LFM2.5-230M

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: base model, publisher tags, task label, model card task.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileआकारSHA-256स्रोतडाउनलोड करें
Weights
model.safetensors459.4 MB
f630da86…31517cfdf630da86651136c9aee893b04b7542007e90fdd718355358e57e7ecc31517cfd
Download availability is being checked.File metadata
Tokenizer & config
.eval_results/LFM2.5-230M.yaml385 bytes-Download availability is being checked.File metadata
chat_template.jinja4.76 KB
c5b67247…030fb0ffc5b67247c9f736f6c40eaa91ae1ef27dc67f5b041eedaadb97a1bea5030fb0ff
Download availability is being checked.File metadata
config.json1.57 KB
f7d0bcc4…e3c2ea3df7d0bcc454b7a30fa471b1e7b9e359e11fb25b56f5b4ffd59bb18248e3c2ea3d
Download availability is being checked.File metadata
generation_config.json303 bytes
4f88574c…fde6858c4f88574c47c3215f7f952e1f520d1df7387422dde0345655228fb7b3fde6858c
Download availability is being checked.File metadata
tokenizer.json4.73 MB
df1d8d5e…374377bddf1d8d5ec5d091b460562ffd545e4a5e91d17d4a0db7ebe733be34ed374377bd
Download availability is being checked.File metadata
tokenizer_config.json489 bytes
75c28792…dbe2f5ee75c287923e252b08b0a0f1c367bbe557ab23a681d0b71c5a34e0932ddbe2f5ee
Download availability is being checked.File metadata
Docs
.gitattributes1.58 KB-Download availability is being checked.File metadata
LICENSE10.6 KB
30adf9d6…545fe94b30adf9d6478191fb87f2424f63ba0728598335aaf99cd2848ef17e8e545fe94b
Download availability is being checked.File metadata
README.md14.1 KB-Download availability is being checked.File metadata

डाउनलोड की जाँच करें

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.

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