Normalized Telegram record
Colibri Runs a 744B Model in 25 GB of Memory
An experimental C inference engine uses aggressive storage and memory techniques to make a very large GLM model runnable without a GPU.
Signal contract
An experimental C inference engine uses aggressive storage and memory techniques to make a very large GLM model runnable without a GPU. This dated record adds public evidence to the harness architecture outlives model choice analysis and keeps the claim auditable as the underlying products and practices change. Novelty: notable. Verification: source-linked.
Source ledger
Publishable sources attached to this record.
| # | Source | Role | Public status |
|---|---|---|---|
| 1 | github.comrepo | primary receipt | source_urls |
| 2 | tomshardware.comsource | supporting receipt | source_urls |
Observation
An experimental C inference engine uses aggressive storage and memory techniques to make a very large GLM model runnable without a GPU.
Why it matters
This dated record adds public evidence to the harness architecture outlives model choice analysis and keeps the claim auditable as the underlying products and practices change.
Entities
No named entity extracted.
Provenance
This public record is an English normalization of QWG AI Telegram message 2699. The complete original-language post remains the canonical raw message.