Foundation model IDs

When you work with watsonx.ai foundation models from a notebook in watsonx.ai, you can use the short names that are defined in the ModelTypes class of the Python library to refer to the supported foundation models.

from ibm_watsonx_ai.foundation_models.utils.enums import ModelTypes

model = Model(
  model_id=ModelTypes.FLAN_UL2,...
  )

Because the list of available foundation models changes frequently to support the latest models, short names for new models might not be available immediately.

You can also use the List the available foundation models REST method to get the {model_id} for a foundation model, and then specify the model ID as a string in your code.

model = Model(
  model_id="google/flan-ul2",...
  )

Foundation model IDs for APIs

The following list shows the values to use in the {model_id} parameter when you reference a foundation model from the API.

all-minilm-l12-v2

sentence-transformers/all-minilm-l12-v2

allam-1-13b-instruct
```
sdaia/allam-1-13b-instruct
```
bge-large-en-v1
```
baai/bge-large-en-v1
```
codellama-34b-instruct-hf
```
codellama/codellama-34b-instruct-hf
```

elyza-japanese-llama-2-7b-instruct

elyza/elyza-japanese-llama-2-7b-instruct

flan-t5-xxl-11b
```
google/flan-t5-xxl
```
flan-ul2-20b
```
google/flan-ul2
```
granite-8b-japanese
```
ibm/granite-8b-japanese
```
granite-13b-chat-v2
```
ibm/granite-13b-chat-v2
```
granite-13b-instruct-v2
```
ibm/granite-13b-instruct-v2
```
granite-20b-multilingual
```
ibm/granite-20b-multilingual
```
granite-3b-code-instruct
```
ibm/granite-3b-code-instruct
```
granite-8b-code-instruct
```
ibm/granite-8b-code-instruct
```
granite-20b-code-instruct
```
ibm/granite-20b-code-instruct
```
granite-34b-code-instruct
```
ibm/granite-34b-code-instruct
```
jais-13b-chat
```
core42/jais-13b-chat
```
llama-3-8b-instruct
```
meta-llama/llama-3-8b-instruct
```
llama-3-70b-instruct
```
meta-llama/llama-3-70b-instruct
```
llama-2-13b-chat
```
meta-llama/llama-2-13b-chat
```
llama-2-70b-chat
```
meta-llama/llama-2-70b-chat
```
llama2-13b-dpo-v7
```
mnci/llama2-13b-dpo-v7
```
merlinite-7b
```
ibm-mistralai/merlinite-7b
```
mixtral-8x7b-instruct-v01
```
mistralai/mixtral-8x7b-instruct-v01
```

mixtral-8x7b-instruct-v01-q

ibm-mistralai/mixtral-8x7b-instruct-v01-q

mt0-xxl-13b
```
bigscience/mt0-xxl
```
multilingual-e5-large
```
intfloat/multilingual-e5-large
```

Parent topic: Coding generative AI solutions