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docs - add nvidia nim

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Ishaan Jaff 2024-06-25 09:38:34 -07:00
parent e5f281074f
commit bac5dfb30b
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103
docs/my-website/docs/providers/nvidia_nim.md Normal file
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# Nvidia NIM
https://docs.api.nvidia.com/nim/reference/
:::tip
**We support ALL Nvidia NIM models, just set `model=nvidia_nim/<any-model-on-nvidia_nim>` as a prefix when sending litellm requests**
:::
## API Key
```python
# env variable
os.environ['NVIDIA_NIM_API_KEY']
```
## Sample Usage
```python
from litellm import completion
import os
os.environ['NVIDIA_NIM_API_KEY'] = ""
response = completion(
model=model_name,
messages=[
{
"role": "user",
"content": "What's the weather like in Boston today in Fahrenheit?",
}
],
temperature=0.2, # optional
top_p=0.9, # optional
frequency_penalty=0.1, # optional
presence_penalty=0.1, # optional
max_tokens=10, # optional
stop=["\n\n"], # optional
)
print(response)
```
## Sample Usage - Streaming
```python
from litellm import completion
import os
os.environ['NVIDIA_NIM_API_KEY'] = ""
response = completion(
model=model_name,
messages=[
{
"role": "user",
"content": "What's the weather like in Boston today in Fahrenheit?",
}
],
stream=True,
temperature=0.2, # optional
top_p=0.9, # optional
frequency_penalty=0.1, # optional
presence_penalty=0.1, # optional
max_tokens=10, # optional
stop=["\n\n"], # optional
)
for chunk in response:
print(chunk)
```
## Supported Models - 💥 ALL Nvidia NIM Models Supported!
We support ALL `nvidia_nim` models, just set `nvidia_nim/` as a prefix when sending completion requests
| Model Name | Function Call |
|------------|---------------|
| nvidia/nemotron-4-340b-reward | `completion(model="nvidia_nim/nvidia/nemotron-4-340b-reward", messages)` |
| 01-ai/yi-large | `completion(model="nvidia_nim/01-ai/yi-large", messages)` |
| aisingapore/sea-lion-7b-instruct | `completion(model="nvidia_nim/aisingapore/sea-lion-7b-instruct", messages)` |
| databricks/dbrx-instruct | `completion(model="nvidia_nim/databricks/dbrx-instruct", messages)` |
| google/gemma-7b | `completion(model="nvidia_nim/google/gemma-7b", messages)` |
| google/gemma-2b | `completion(model="nvidia_nim/google/gemma-2b", messages)` |
| google/codegemma-1.1-7b | `completion(model="nvidia_nim/google/codegemma-1.1-7b", messages)` |
| google/codegemma-7b | `completion(model="nvidia_nim/google/codegemma-7b", messages)` |
| google/recurrentgemma-2b | `completion(model="nvidia_nim/google/recurrentgemma-2b", messages)` |
| ibm/granite-34b-code-instruct | `completion(model="nvidia_nim/ibm/granite-34b-code-instruct", messages)` |
| ibm/granite-8b-code-instruct | `completion(model="nvidia_nim/ibm/granite-8b-code-instruct", messages)` |
| mediatek/breeze-7b-instruct | `completion(model="nvidia_nim/mediatek/breeze-7b-instruct", messages)` |
| meta/codellama-70b | `completion(model="nvidia_nim/meta/codellama-70b", messages)` |
| meta/llama2-70b | `completion(model="nvidia_nim/meta/llama2-70b", messages)` |
| meta/llama3-8b | `completion(model="nvidia_nim/meta/llama3-8b", messages)` |
| meta/llama3-70b | `completion(model="nvidia_nim/meta/llama3-70b", messages)` |
| microsoft/phi-3-medium-4k-instruct | `completion(model="nvidia_nim/microsoft/phi-3-medium-4k-instruct", messages)` |
| microsoft/phi-3-mini-128k-instruct | `completion(model="nvidia_nim/microsoft/phi-3-mini-128k-instruct", messages)` |
| microsoft/phi-3-mini-4k-instruct | `completion(model="nvidia_nim/microsoft/phi-3-mini-4k-instruct", messages)` |
| microsoft/phi-3-small-128k-instruct | `completion(model="nvidia_nim/microsoft/phi-3-small-128k-instruct", messages)` |
| microsoft/phi-3-small-8k-instruct | `completion(model="nvidia_nim/microsoft/phi-3-small-8k-instruct", messages)` |
| mistralai/codestral-22b-instruct-v0.1 | `completion(model="nvidia_nim/mistralai/codestral-22b-instruct-v0.1", messages)` |
| mistralai/mistral-7b-instruct | `completion(model="nvidia_nim/mistralai/mistral-7b-instruct", messages)` |
| mistralai/mistral-7b-instruct-v0.3 | `completion(model="nvidia_nim/mistralai/mistral-7b-instruct-v0.3", messages)` |
| mistralai/mixtral-8x7b-instruct | `completion(model="nvidia_nim/mistralai/mixtral-8x7b-instruct", messages)` |
| mistralai/mixtral-8x22b-instruct | `completion(model="nvidia_nim/mistralai/mixtral-8x22b-instruct", messages)` |
| mistralai/mistral-large | `completion(model="nvidia_nim/mistralai/mistral-large", messages)` |
| nvidia/nemotron-4-340b-instruct | `completion(model="nvidia_nim/nvidia/nemotron-4-340b-instruct", messages)` |
| seallms/seallm-7b-v2.5 | `completion(model="nvidia_nim/seallms/seallm-7b-v2.5", messages)` |
| snowflake/arctic | `completion(model="nvidia_nim/snowflake/arctic", messages)` |
| upstage/solar-10.7b-instruct | `completion(model="nvidia_nim/upstage/solar-10.7b-instruct", messages)` |

5
docs/my-website/sidebars.js
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@ -146,13 +146,14 @@ const sidebars = {
"providers/databricks",
"providers/watsonx",
"providers/predibase",
"providers/clarifai",
"providers/nvidia_nim",
"providers/triton-inference-server",
"providers/ollama",
"providers/perplexity",
"providers/groq",
"providers/deepseek",
"providers/fireworks_ai",
"providers/fireworks_ai",
"providers/clarifai",
"providers/vllm",
"providers/xinference",
"providers/cloudflare_workers",