Model page

haven-ai-companion/haven-chat-v4.0 warn

downloads 301likes 0license apache-2.0updated 2026-08-13

claims base: google/gemma-2-9b-it · chat template: not found · view on Hugging Face ↗

Scan coverage

Ingot runs three batteries against a model. What each one checks →

BatteryLooks atStatus
Static batteryMetadata & packagingcomplete 2026-08-21
Weights batteryWeights forensics — no GPU, no downloadn/arepo ships no scannable weights (no safetensors and no pickle checkpoints — GGUF/CoreML/other formats)
Behavioral batteryLive-inference differentialsnot run

Findings

Scanned 2026-08-21 · published from a community scan.

medium License differs from claimed parent (apache-2.0 vs gemma)

This model declares apache-2.0 while its claimed base google/gemma-2-9b-it declares gemma. Verify the re-license is permitted before commercial use.

How to fix

Verify the re-license is actually permitted before relying on it.

  1. Read the parent's license for derivative-work and re-licensing terms — many open-weight licenses (e.g. Llama-family) do not permit arbitrary re-licensing.
  2. If the re-license is not permitted, the parent's terms govern your use regardless of what this repo declares.

medium Chat template dropped vs parent

google/gemma-2-9b-it ships a chat template; this repo does not. Serving stacks will silently fall back to a generic template, changing behavior. (In our 296-model census, 78% of pure quantization re-releases changed or dropped the template.)

How to fixingot patch

Restore the parent's chat template in `tokenizer_config.json` — a pure metadata fix.

  1. Run `ingot patch <owner/model>` — the patch manifest carries the parent's template and applies it to a local copy's `tokenizer_config.json`.
  2. Or fix by hand: copy the `chat_template` value from the parent repo's `tokenizer_config.json` into this model's, and pin your serving stack to that file.
  3. If the drift was intentional (the author retrained on a new template), confirm that in the model card before "fixing" it — restoring the parent template on retrained weights changes behavior too.

Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.

Fingerprint

The durable profile of this model: measured weights-and-metadata facts, rebuilt on every scan and battery run. Updated 2026-08-21.

licenseapache-2.0
serializationgguf
chat templatenone
claimed lineagegoogle/gemma-2-9b-it
lineage verifiedunverified — weights battery pending
Full measured fingerprint
pipelinetext-generation
repo files3
revisionb59644878d49
HF snapshot301 downloads · 0 likes · updated 2026-08-13 · captured 2026-08-21
weights batterytoken-embedding scan n/a — repo ships no scannable weights (no safetensors and no pickle checkpoints — GGUF/CoreML/other formats)

Battery runs

The run trace behind the findings above: every deep-battery job for this model, with what each run measured or why it failed. Findings are only as good as the runs that produced them.

batterystatusqueueddurationattempts
weightscomplete2026-08-21 05:150s1
weights run 2026-08-21 measurements

Fix it

Some findings are metadata-level and patchable — apply the fixes to your local copy (your weights never leave your machine):

npx @ingotai/scan patch haven-ai-companion/haven-chat-v4.0

Remediation guidance addresses the documented findings only. It is evidence-driven repair, not a safety certification of the model.

Verdict badge

Ship the verdict in your README — it always shows the latest published analysis:

Ingot verdict: warn

[![Ingot scan](https://ingot.tools/api/v1/models/haven-ai-companion/haven-chat-v4.0/badge.svg)](https://ingot.tools/models/haven-ai-companion/haven-chat-v4.0)
Gate it in CI