microsoft/phi-1_5 — OpenModelAtlas

Provenance & integrity

Revisionsha:77aa61ee…d5b5eb

Weight fingerprintsha256:b4f562cc…976df7

config.json oidoid:769ba572…9f9987

Parameters1.3B· 1,418,270,720 params

Licencemit

Released2023-09

MakerMicrosoft

Last modified2025-11-24

Accessopen access

Identity & integrity of the public artifact captured 2025-11-24 — the same file, unchanged, that Ardora read. Not a safety statement.

The reading

○ Cataloguednot yet read — no reading has been published for this model. Identity and provenance stand on their own; disposition is left blank rather than guessed.

Claim grounding

The language model Phi-1.5 is a Transformer with 1.3 billion parameters [...] demonstrating a nearly state-of-the-art performance among models with less than 10 billion parameters. [...] We did not fine-tune Phi-1.5 either for instruction following or through reinforcement learning from human feedback. [...] best suited for prompts using the QA format, the chat format, and the code format [...] write poems, draft emails, create stories, summarize texts, write Python code. [...] primarily designed to understand standard English.
— the uploader's card, captured 2026-07-07, quoted verbatim · source ↗

UNVERIFIED-ABSTAINidentity

the uploader states 'We did not fine-tune Phi-1.5 either for instruction following or through reinforcement learning from human feedback' — a base model

This specimen is catalogued but not yet read (reading.analyzed = false); there is no witnessed disposition reading to ground the base/not-instruction-tuned identity claim against. Abstained honestly until the model is read.

UNVERIFIED-ABSTAINdomain

a tag asserts 'code'; the card says it is best for 'the QA format, the chat format, and the code format' and can 'write Python code'

Not yet read (reading.analyzed = false) — no witnessed domain-specialization reading exists to support or contradict a code/QA-idiom claim. Abstained honestly until read.

UNVERIFIED-ABSTAINcapability

the card claims 'nearly state-of-the-art performance among models with less than 10 billion parameters'

A capability/benchmark claim — doubly out of scope: Ardora reads disposition, not capability, and this specimen is not yet read regardless. Abstained.

UNVERIFIED-ABSTAINlanguage

the uploader states it is 'primarily designed to understand standard English'

Language coverage is out of Ardora's disposition scope (English-centric read battery); and the model is not yet read regardless. Abstained.

SUPPORTEDsize

the card states it is 'a Transformer with 1.3 billion parameters'

Provenance/config fact-check: the stated 1.3B parameter count is cross-checked against config.json in the atlas provenance (params_millions 1300, PhiForCausalLM, vocab 51200). A fact-check, not a disposition stance.

Claims are the uploader's, quoted from their public card at the capture date; stances are coarse, witnessed, disposition-only, measured against the published fidelity ceiling for this engine version -- not the Engine's raw numbers. Recomputed when the ceiling moves; capability, benchmark, and safety claims are abstained, never refuted.