Supported base models

Each row below is a Hugging Face repo ID you can pass as base_model when starting a Loops run, along with the maximum supported sequence length and whether the model accepts vision-language input. Baseten adds rows as it validates new models end to end.

Models

Model	Max sequence length	Vision
`Qwen/Qwen3-0.6B`	8,192	No
`Qwen/Qwen3-8B`	40,960	No
`Qwen/Qwen3-30B-A3B-Instruct-2507`	131,072	No
`Qwen/Qwen3.5-0.8B`	131,072	Yes
`Qwen/Qwen3.5-2B`	131,072	Yes
`Qwen/Qwen3.5-4B`	131,072	Yes
`Qwen/Qwen3.5-9B`	131,072	Yes
`Qwen/Qwen3.5-27B`	131,072	Yes
`Qwen/Qwen3.5-35B-A3B`	131,072	Yes
`Qwen/Qwen3.5-122B-A10B`	131,072	Yes
`Qwen/Qwen3.5-397B-A17B`	262,144	Yes
`Qwen/Qwen3.6-27B`	131,072	Yes
`Qwen/Qwen3.6-35B-A3B`	262,144	Yes
`Qwen/Qwen3.8-27B`	131,072	Yes
`deepseek-ai/DeepSeek-V4-Flash`	131,072	No
`deepseek-ai/DeepSeek-V4-Flash-0731`	131,072	No
`moonshotai/Kimi-K2.6`	262,144	Yes
`moonshotai/Kimi-K2.7-Code`	262,144	Yes
`nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16`	262,144	No
`nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4`	262,144	No
`zai-org/GLM-5.2-FP8`	262,144	No

List supported models

Query the /v1/loops/capabilities endpoint for the current list of base models, their maximum sequence lengths, and whether they support vision-language input:

curl https://api.baseten.co/v1/loops/capabilities \
  -H "Authorization: Bearer $BASETEN_API_KEY"

{
  "supported_models": [
    {"model_name": "Qwen/Qwen3-0.6B", "max_context_length": 8192, "supports_vision_language": false},
    {"model_name": "Qwen/Qwen3.5-27B", "max_context_length": 131072, "supports_vision_language": true},
    ...
  ]
}

The endpoint lists the base models your workspace has access to, so its response is the source of truth for what you can pass as base_model, even where it differs from the table above. See GET /v1/loops/capabilities for the full route reference.

Pass a model to Loops

Pass the table value verbatim as base_model through any of the following entry points:

The Python SDK, using ServiceClient.create_lora_training_client(base_model=...). See the Loops quickstart.
The HTTP API, using POST /v1/loops/trainers.
The CLI, using truss loops push <base_model>, which provisions a session, run, and paired sampler in one call.

The minimal HTTP call provisions a trainer against an existing session. Replace 2qjl22w with the session.id returned by POST /v1/loops/sessions:

curl --request POST \
  --url https://api.baseten.co/v1/loops/trainers \
  --header "Authorization: Bearer $BASETEN_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "session_id": "2qjl22w",
    "base_model": "Qwen/Qwen3.5-9B"
  }'

For the full request body and response shape, see the Loops API reference.

Request a model

To request a base model that isn’t listed, contact support.

Get started

Model APIs

Inference

Training

Development

Deployment

Engines

Model Labs

Organization

Hosting options

Observability

Troubleshooting

Supported base models

Models

List supported models

Pass a model to Loops

Request a model

​Models

​List supported models

​Pass a model to Loops

​Request a model

Models

List supported models

Pass a model to Loops

Request a model