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Add python script to fetch togetherai models #97

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Add python script to fetch togetherai models #97

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157 changes: 128 additions & 29 deletions pages/docs/configuration/librechat_yaml/ai_endpoints/togetherai.mdx
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Expand Up @@ -11,59 +11,158 @@ description: Example configuration for together.ai

- **Known:** icon provided.
- **Known issue:** fetching list of models is not supported.
- The example includes a model list, which was last updated on February 27, 2024, for your convenience.
- The example includes a model list, which was last updated on August 1, 2024, for your convenience.

<Callout type="tip" title="Fetch and order the models" collapsible>
This python script can fetch and order the llm models for you. The output will be saved in models.txt, formated in a way that should make it easier for you to include in the yaml config.

```py filename="fetch_togetherai.py"
import json

import requests

# API key
api_key = ""

# API endpoint
url = "https://api.together.xyz/v1/models"

# headers
headers = {
"accept": "application/json",
"Authorization": f"Bearer {api_key}"
}

# make request
response = requests.get(url, headers=headers)

# parse JSON response
data = response.json()

# extract an ordered list of unique model IDs
model_ids = sorted(
[
model['id']
for model in data
if model['type'] == 'chat'
]
)

# write result to a text file
with open("models_togetherai.json", "w") as file:
json.dump(model_ids, file, indent=2)
```
</Callout>

```yaml
- name: "together.ai"
apiKey: "${TOGETHERAI_API_KEY}"
baseURL: "https://api.together.xyz"
models:
default: [
"zero-one-ai/Yi-34B-Chat",
"Austism/chronos-hermes-13b",
"DiscoResearch/DiscoLM-mixtral-8x7b-v2",
"Gryphe/MythoMax-L2-13b",
"lmsys/vicuna-13b-v1.5",
"lmsys/vicuna-7b-v1.5",
"lmsys/vicuna-13b-v1.5-16k",
"codellama/CodeLlama-13b-Instruct-hf",
"codellama/CodeLlama-34b-Instruct-hf",
"codellama/CodeLlama-70b-Instruct-hf",
"codellama/CodeLlama-7b-Instruct-hf",
"togethercomputer/llama-2-13b-chat",
"togethercomputer/llama-2-70b-chat",
"togethercomputer/llama-2-7b-chat",
"HuggingFaceH4/zephyr-7b-beta",
"NousResearch/Hermes-2-Theta-Llama-3-70B",
"NousResearch/Nous-Capybara-7B-V1p9",
"NousResearch/Nous-Hermes-2-Mistral-7B-DPO",
"NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
"NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT",
"NousResearch/Nous-Hermes-2-Yi-34B",
"NousResearch/Nous-Hermes-Llama2-13b",
"NousResearch/Nous-Hermes-Llama2-70b",
"NousResearch/Nous-Hermes-llama-2-7b",
"NousResearch/Nous-Hermes-Llama2-13b",
"NousResearch/Nous-Hermes-2-Yi-34B",
"openchat/openchat-3.5-1210",
"Open-Orca/Mistral-7B-OpenOrca",
"togethercomputer/Qwen-7B-Chat",
"snorkelai/Snorkel-Mistral-PairRM-DPO",
"togethercomputer/alpaca-7b",
"togethercomputer/falcon-40b-instruct",
"togethercomputer/falcon-7b-instruct",
"togethercomputer/GPT-NeoXT-Chat-Base-20B",
"togethercomputer/Llama-2-7B-32K-Instruct",
"togethercomputer/Pythia-Chat-Base-7B-v0.16",
"togethercomputer/RedPajama-INCITE-Chat-3B-v1",
"togethercomputer/RedPajama-INCITE-7B-Chat",
"togethercomputer/StripedHyena-Nous-7B",
"Qwen/Qwen1.5-0.5B-Chat",
"Qwen/Qwen1.5-1.8B-Chat",
"Qwen/Qwen1.5-110B-Chat",
"Qwen/Qwen1.5-14B-Chat",
"Qwen/Qwen1.5-32B-Chat",
"Qwen/Qwen1.5-4B-Chat",
"Qwen/Qwen1.5-72B-Chat",
"Qwen/Qwen1.5-7B-Chat",
"Qwen/Qwen2-1.5B",
"Qwen/Qwen2-1.5B-Instruct",
"Qwen/Qwen2-72B",
"Qwen/Qwen2-72B-Instruct",
"Qwen/Qwen2-7B",
"Qwen/Qwen2-7B-Instruct",
"Snowflake/snowflake-arctic-instruct",
"Undi95/ReMM-SLERP-L2-13B",
"Undi95/Toppy-M-7B",
"WizardLM/WizardLM-13B-V1.2",
"allenai/OLMo-7B-Instruct",
"carson/ml31405bit",
"carson/ml3170bit",
"carson/ml318bit",
"carson/ml318br",
"codellama/CodeLlama-13b-Instruct-hf",
"codellama/CodeLlama-34b-Instruct-hf",
"codellama/CodeLlama-70b-Instruct-hf",
"codellama/CodeLlama-7b-Instruct-hf",
"cognitivecomputations/dolphin-2.5-mixtral-8x7b",
"databricks/dbrx-instruct",
"deepseek-ai/deepseek-coder-33b-instruct",
"deepseek-ai/deepseek-llm-67b-chat",
"garage-bAInd/Platypus2-70B-instruct",
"google/gemma-2-27b-it",
"google/gemma-2-9b-it",
"google/gemma-2b-it",
"google/gemma-7b-it",
"gradientai/Llama-3-70B-Instruct-Gradient-1048k",
"lmsys/vicuna-13b-v1.3",
"lmsys/vicuna-13b-v1.5",
"lmsys/vicuna-13b-v1.5-16k",
"lmsys/vicuna-7b-v1.3",
"lmsys/vicuna-7b-v1.5",
"meta-llama/Llama-2-13b-chat-hf",
"meta-llama/Llama-2-70b-chat-hf",
"meta-llama/Llama-2-7b-chat-hf",
"meta-llama/Llama-3-70b-chat-hf",
"meta-llama/Llama-3-8b-chat-hf",
"meta-llama/Meta-Llama-3-70B-Instruct",
"meta-llama/Meta-Llama-3-70B-Instruct-Lite",
"meta-llama/Meta-Llama-3-70B-Instruct-Turbo",
"meta-llama/Meta-Llama-3-8B-Instruct",
"meta-llama/Meta-Llama-3-8B-Instruct-Lite",
"meta-llama/Meta-Llama-3-8B-Instruct-Turbo",
"meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
"meta-llama/Meta-Llama-3.1-70B-Instruct-Reference",
"meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
"meta-llama/Meta-Llama-3.1-70B-Reference",
"meta-llama/Meta-Llama-3.1-8B-Instruct-Reference",
"meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
"microsoft/WizardLM-2-8x22B",
"mistralai/Mistral-7B-Instruct-v0.1",
"mistralai/Mistral-7B-Instruct-v0.2",
"mistralai/Mistral-7B-Instruct-v0.3",
"mistralai/Mixtral-8x22B-Instruct-v0.1",
"mistralai/Mixtral-8x7B-Instruct-v0.1",
"openchat/openchat-3.5-1210",
"snorkelai/Snorkel-Mistral-PairRM-DPO",
"teknium/OpenHermes-2-Mistral-7B",
"teknium/OpenHermes-2p5-Mistral-7B",
"upstage/SOLAR-10.7B-Instruct-v1.0"
]
"togethercomputer/CodeLlama-13b-Instruct",
"togethercomputer/CodeLlama-34b-Instruct",
"togethercomputer/CodeLlama-7b-Instruct",
"togethercomputer/Koala-13B",
"togethercomputer/Koala-7B",
"togethercomputer/Llama-2-7B-32K-Instruct",
"togethercomputer/Llama-3-8b-chat-hf-int4",
"togethercomputer/Llama-3-8b-chat-hf-int8",
"togethercomputer/SOLAR-10.7B-Instruct-v1.0-int4",
"togethercomputer/StripedHyena-Nous-7B",
"togethercomputer/alpaca-7b",
"togethercomputer/guanaco-13b",
"togethercomputer/guanaco-33b",
"togethercomputer/guanaco-65b",
"togethercomputer/guanaco-7b",
"togethercomputer/llama-2-13b-chat",
"togethercomputer/llama-2-70b-chat",
"togethercomputer/llama-2-7b-chat",
"upstage/SOLAR-10.7B-Instruct-v1.0",
"zero-one-ai/Yi-34B-Chat"
]
fetch: false # fetching list of models is not supported
titleConvo: true
titleModel: "togethercomputer/llama-2-7b-chat"
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