Model · mpt-7b-instruct
mpt-7b-instruct
Developer: MosaicML
Availability: removed · checked 2026-09-24 · source
HF API returned HTTP 401.
Raw record: /data/models/mpt-7b-instruct.json
Fields
- id
- mpt-7b-instruct
- identifiers
- huggingface
- mosaicml/mpt-7b-instruct
- developer
- MosaicML
- release_date
- 2023-05-05recorded · sourcenote: HF API returned 401 for this repo (mosaicml/ org unreachable, same as mpt-7b); dated from the MosaicML/Databricks release post.
- weights_status
- unknown
- availability
- removed · checked 2026-09-24 · sourcenote: HF API returned HTTP 401.
- license
- CC-By-SA-3.0recorded · sourcenote: Note: this differs from mpt-7b's own Apache-2.0 license -- the Dolly/HH-derived fine-tuning data carries a different license than the base model.
- architecture
- family
- unknown
- n_layers
- nullnot_recorded
- hidden_size
- nullnot_recorded
- n_heads
- nullnot_recorded
- vocab_size
- nullnot_recorded
- context_length
- nullnot_recorded
- positional_encoding
- ALiBi (no position embeddings)recorded · sourcenote: Architecture unchanged from mpt-7b (instruction fine-tune).
- training_data
- A dataset derived from databricks-dolly-15k and Anthropic's Helpful and Harmless (HH) datasets.recorded · source
- techniques
- primary_sources
- record_history
- date:2026-09-24 · change:ingested as candidate from HF (mosaicml/mpt-7b-instruct@None) · by:ingest_hf.py ·date:2026-09-24 · change:preparer: developer, release date, license, fine_tuned_from mpt-7b, training_data all set from primary source (HF repo unreachable) · by:claude (preparer, Sonnet 5) ·date:2026-09-24 · change:preparer cleanup: removed 2 stale flag(s) · by:claude (preparer, Sonnet 5) ·date:2026-09-24 · change:preparer cleanup: positional_encoding propagated from an unchanged parent architecture · by:claude (preparer, Sonnet 5) ·date:2026-09-24 · change:reviewed and promoted from staging (1 edge(s) accepted) · by:Wilson Pruitt ·
Parents
Weights descend
- fine_tuned_from → MPT-7B declared source Post: 'Built by finetuning MPT-7B on a dataset we also release, derived from Databricks Dolly-15k and Anthropic's Helpful and Harmless datasets.'
Children
No edges recorded.
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