tegwick
77d4ffe86e
Enable fi-daily-research-brief, prove fi_brief_status idempotence with the 2026-07-28 brief, approve R/S catalog entries, collect and verify embeds plus Qwen3-8B and R1-Distill-14B on VAULT, and document residuals (HF-gated Llama, deferred S giants, railiance ConfigMap apply).
97 lines
3.3 KiB
YAML
97 lines
3.3 KiB
YAML
id: nomic-ai__nomic-embed-text-v1.5__candidate
|
|
status: verified
|
|
name: nomic-embed-text-v1.5
|
|
org: nomic-ai
|
|
source:
|
|
kind: huggingface
|
|
url: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
|
revision: main
|
|
model_card_url: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
|
project_url: https://www.nomic.ai/
|
|
license:
|
|
spdx: Apache-2.0
|
|
url: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
|
allows_offline_retention: true
|
|
allows_local_ops: true
|
|
allows_fine_tune: true
|
|
notes: ""
|
|
profile:
|
|
summary: "Lightweight open text embedder for A/B with BGE-M3 and long-context retrieval experiments."
|
|
original_source: https://huggingface.co/nomic-ai/nomic-embed-text-v1.5
|
|
use_cases:
|
|
- "Secondary / A/B embedding path vs BGE-M3"
|
|
- "English-heavy RAG with low resource cost"
|
|
- "Long-context embedding experiments (per card capabilities)"
|
|
- "Portable laptop offline search indexes"
|
|
sweet_spots:
|
|
- "Small footprint Apache embed"
|
|
- "Fast iteration when re-embedding corpora often"
|
|
- "Nomic tooling and Matryoshka-style dimension flexibility (per card)"
|
|
not_ideal_for:
|
|
- "Sole multilingual production embed without A/B (prefer BGE-M3 default)"
|
|
- "Generation tasks"
|
|
- "Code-only retrieval (prefer code embed if held)"
|
|
capability_notes: >
|
|
Compact Nomic text embedding model. Held as runnable dual-path to avoid
|
|
single-vendor embed lock-in and to re-eval retrieval quality cheaply.
|
|
Prefer current v2 text card at pull if clearly better.
|
|
swot:
|
|
strengths:
|
|
- "Tiny, Apache-2.0, easy to re-run indexes"
|
|
- "Diversifies embed dependency next to BGE-M3"
|
|
weaknesses:
|
|
- "May lose multilingual or domain A/B vs BGE-M3"
|
|
- "Version churn (v1.5 vs v2) needs careful pin"
|
|
opportunities:
|
|
- "Dimension-reduced storage for large corpora"
|
|
- "Hybrid ensembles (BGE + nomic signals)"
|
|
threats:
|
|
- "Becomes redundant if one embed wins all lab evals"
|
|
- "Upstream rename/deprecation of v1.5"
|
|
artifacts:
|
|
- path: "model.safetensors"
|
|
sha256: "9e7d262b1fe5ea350782829496efa831901b77486bbde1cea54a4c822d010d5c"
|
|
bytes: 546938168
|
|
size:
|
|
total_bytes: 547958078
|
|
total_human: "0.51 GiB"
|
|
hardware_class:
|
|
min_vram_gb_q4: 1
|
|
min_vram_gb_fp16: 1
|
|
notes: "CPU-friendly"
|
|
axes: [B]
|
|
priority: high
|
|
collection:
|
|
approved_by: "bernd"
|
|
approved_at: "2026-07-28"
|
|
downloaded_at: "2026-07-28"
|
|
downloaded_by: "grok"
|
|
storage_path: "/mnt/d/vault/coulomb/freedom-intelligence/models/nomic-ai__nomic-embed-text-v1.5/main"
|
|
brief_refs:
|
|
- research/2026-07-24-baseline-field-survey.md
|
|
reason: "P0/R lightweight embed for A/B with BGE-M3; long-context text retrieval."
|
|
tags: [tier-r, embedding, rag]
|
|
companions:
|
|
- BAAI__bge-m3__candidate
|
|
notes: "If v2 text is preferred at collection time, update id/url and supersede this candidate."
|
|
history:
|
|
- at: "2026-07-24"
|
|
event: nominated
|
|
by: baseline-survey
|
|
detail: "P0 recommendation from initial deep research."
|
|
- at: "2026-07-24"
|
|
event: profile_swot_added
|
|
by: grok
|
|
detail: "schema 0.2 profile + SWOT."
|
|
- at: "2026-07-28"
|
|
event: approved
|
|
by: bernd
|
|
detail: "R light embed"
|
|
- at: "2026-07-28"
|
|
event: collected
|
|
by: grok
|
|
detail: "snapshot_download weights-only to VAULT"
|
|
- at: "2026-07-28"
|
|
event: verified
|
|
by: grok
|
|
detail: "MANIFEST.json sha256 for weight files"
|