> ## Documentation Index
> Fetch the complete documentation index at: https://docs.infercrane.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Verified Models

> Start from reviewed, immutable model configurations without confusing templates with measured performance.

# Choose a model without accepting a black box

InferCrane's Verified Models catalog is a small, reviewed set of deployment starting points. It is
not a hosted-model marketplace and it does not imply that one model runs on every GPU, runtime, or
provider.

```bash theme={"theme":"css-variables"}
infercrane models
infercrane models embeddings
infercrane models inspect mistral-7b-instruct
```

Each entry exposes:

* the Hugging Face repository and immutable commit;
* publisher, task, protocol, capabilities, and modalities;
* license URL and gated-access requirement;
* reviewed runtime configuration and serving profiles;
* review date and an explicit evidence boundary.

Create a project from one reviewed entry:

```bash theme={"theme":"css-variables"}
infercrane workload init ./support-model \
  --recipe mistral-7b-instruct

cd ./support-model
infercrane workload validate
infercrane workload plan
infercrane workload deploy --wait
```

The browser console exposes the same control-plane catalog under **Models**. A model detail page
shows the immutable identity and qualification scope before the deployment form is populated.

## Evidence levels

| Level                  | What it proves                                                                                          | What it does not prove                                    |
| ---------------------- | ------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
| Configuration verified | Repository identity, immutable revision, license metadata, protocol, and reviewed runtime configuration | GPU fit, provider capacity, latency, throughput, or price |
| Measured recipe        | One exact artifact, runtime, provider, GPU, region, workload, and AIPerf run                            | Portability to a different serving plan                   |
| Community recipe       | Contributor-supplied configuration with visible provenance                                              | InferCrane qualification unless separately recorded       |
| Explicit model         | The operator selected a repository and serving plan                                                     | Compatibility or production readiness                     |

The current built-in catalog contains only **configuration-verified** entries. Measured results stay
tenant-scoped in benchmark history and immutable model recipes; InferCrane does not silently promote
them into universal claims.

## Current collections

The catalog follows application tasks rather than a single popularity ranking. Selection considers
current ecosystem adoption, an official upstream model card, license clarity, and compatibility with
InferCrane's qualified runtime line.

| Collection                   | Reviewed starting points                             | Typical application                                     |
| ---------------------------- | ---------------------------------------------------- | ------------------------------------------------------- |
| General chat                 | Mistral 7B Instruct, Qwen3 8B, Llama 3.1 8B Instruct | Support, assistants, generation                         |
| Reasoning                    | Qwen3 8B, DeepSeek R1 Distill Qwen 7B                | Analysis and multi-step tasks                           |
| Coding                       | Qwen2.5 Coder 7B Instruct                            | Completion, explanation, transformation, repair         |
| Vision and documents         | Gemma 3 4B IT, Qwen2.5 VL 7B Instruct                | Screenshots, forms, diagrams, visual question answering |
| Embeddings and RAG           | BGE-M3                                               | Multilingual search and private retrieval               |
| Extraction and summarization | Granite 3.3 8B Instruct                              | Controlled enterprise text pipelines                    |

This is not a claim that every entry is best for its category. Evaluate quality on the application's
own data, then benchmark the exact serving plan before promotion.

Catalog review uses the upstream [Hugging Face model metadata](https://huggingface.co/models), the
[vLLM 0.8.5 support matrix](https://docs.vllm.ai/en/v0.8.5/models/supported_models.html), and each
publisher's model card and license. Task-oriented discovery is informed by model-library patterns
used by [Replicate](https://replicate.com/collections) and
[Baseten](https://www.baseten.co/library/), but InferCrane entries remain provider-neutral and do not
copy their performance or availability claims.

<Note>
  Popular models that require a newer, unqualified runtime are not presented as one-click templates.
  They remain available through the explicit-model path, and can enter the reviewed catalog after the
  runtime and protocol matrix is qualified.
</Note>

<Warning>
  The `gpu_hint` in a serving profile is an editable configuration starting point. Run `plan`, confirm
  model memory/topology requirements, and qualify the exact provider/runtime combination before
  production.
</Warning>

## Any Hugging Face model remains available

The catalog is convenience, not an allowlist:

```bash theme={"theme":"css-variables"}
infercrane workload init ./my-model --model organization/repository
infercrane workload plan ./my-model
```

Mutable references are resolved into `ModelArtifact` identity during the durable deployment
lifecycle. A catalog entry simply starts with a reviewed commit and clearer license/protocol
metadata.

## API

Authenticated consoles and automation can use:

```bash theme={"theme":"css-variables"}
curl -sS "$INFERCRANE_CONTROL_URL/api/v1/catalog/models?query=chat" \
  -H "Authorization: Bearer $INFERCRANE_API_KEY"

curl -sS "$INFERCRANE_CONTROL_URL/api/v1/catalog/models/qwen3-8b" \
  -H "Authorization: Bearer $INFERCRANE_API_KEY"
```

The response includes `performance_claims: false`. Trustworthy performance comes from
[AIPerf benchmarking](/features/benchmarking), [Inference Lab](/features/recipes-lab), and the exact
evidence attached to a revision.