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models.ts
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import settings from "./settings.ts";
import { Models, ModelProviderName, ModelClass } from "./types.ts";
const models: Models = {
[ModelProviderName.OPENAI]: {
endpoint: "https://api.openai.com/v1",
settings: {
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
model: {
[ModelClass.SMALL]: "gpt-4o-mini",
[ModelClass.MEDIUM]: "gpt-4o",
[ModelClass.LARGE]: "gpt-4o",
[ModelClass.EMBEDDING]: "text-embedding-3-small",
[ModelClass.IMAGE]: "dall-e-3",
},
},
[ModelProviderName.ANTHROPIC]: {
settings: {
stop: [],
maxInputTokens: 200000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.3,
},
endpoint: "https://api.anthropic.com/v1",
model: {
[ModelClass.SMALL]: "claude-3-5-sonnet-20241022",
[ModelClass.MEDIUM]: "claude-3-5-sonnet-20241022",
[ModelClass.LARGE]: "claude-3-opus-20240229",
},
},
[ModelProviderName.CLAUDE_VERTEX]: {
settings: {
stop: [],
maxInputTokens: 200000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.3,
},
endpoint: "https://api.anthropic.com/v1", // TODO: check
model: {
[ModelClass.SMALL]: "claude-3-5-sonnet-20241022",
[ModelClass.MEDIUM]: "claude-3-5-sonnet-20241022",
[ModelClass.LARGE]: "claude-3-opus-20240229",
},
},
[ModelProviderName.GROK]: {
settings: {
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.3,
},
endpoint: "https://api.x.ai/v1",
model: {
[ModelClass.SMALL]: "grok-beta",
[ModelClass.MEDIUM]: "grok-beta",
[ModelClass.LARGE]: "grok-beta",
[ModelClass.EMBEDDING]: "grok-beta", // not sure about this one
},
},
[ModelProviderName.GROQ]: {
endpoint: "https://api.groq.com/openai/v1",
settings: {
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8000,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.3,
},
model: {
[ModelClass.SMALL]: "llama-3.1-8b-instant",
[ModelClass.MEDIUM]: "llama-3.1-70b-versatile",
[ModelClass.LARGE]: "llama-3.2-90b-text-preview",
[ModelClass.EMBEDDING]: "llama-3.1-8b-instant",
},
},
[ModelProviderName.LLAMACLOUD]: {
settings: {
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.0,
temperature: 0.3,
},
imageSettings: {
steps: 4,
},
endpoint: "https://api.together.ai/v1",
model: {
[ModelClass.SMALL]: "meta-llama/Llama-3.2-3B-Instruct-Turbo",
[ModelClass.MEDIUM]: "meta-llama-3.1-8b-instruct",
[ModelClass.LARGE]: "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
[ModelClass.EMBEDDING]:
"togethercomputer/m2-bert-80M-32k-retrieval",
[ModelClass.IMAGE]: "black-forest-labs/FLUX.1-schnell",
},
},
[ModelProviderName.LLAMALOCAL]: {
settings: {
stop: ["<|eot_id|>", "<|eom_id|>"],
maxInputTokens: 32768,
maxOutputTokens: 8192,
repetition_penalty: 0.0,
temperature: 0.3,
},
model: {
[ModelClass.SMALL]:
"NousResearch/Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Hermes-3-Llama-3.1-8B.Q8_0.gguf?download=true",
[ModelClass.MEDIUM]:
"NousResearch/Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Hermes-3-Llama-3.1-8B.Q8_0.gguf?download=true", // TODO: ?download=true
[ModelClass.LARGE]:
"NousResearch/Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Hermes-3-Llama-3.1-8B.Q8_0.gguf?download=true",
// "RichardErkhov/NousResearch_-_Meta-Llama-3.1-70B-gguf", // TODO:
[ModelClass.EMBEDDING]:
"togethercomputer/m2-bert-80M-32k-retrieval",
},
},
[ModelProviderName.GOOGLE]: {
settings: {
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.3,
},
model: {
[ModelClass.SMALL]: "gemini-1.5-flash",
[ModelClass.MEDIUM]: "gemini-1.5-flash",
[ModelClass.LARGE]: "gemini-1.5-pro",
[ModelClass.EMBEDDING]: "text-embedding-004",
},
},
[ModelProviderName.REDPILL]: {
endpoint: "https://api.red-pill.ai/v1",
settings: {
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
// Available models: https://docs.red-pill.ai/get-started/supported-models
// To test other models, change the models below
model: {
[ModelClass.SMALL]: "gpt-4o-mini", // [ModelClass.SMALL]: "claude-3-5-sonnet-20241022",
[ModelClass.MEDIUM]: "gpt-4o", // [ModelClass.MEDIUM]: "claude-3-5-sonnet-20241022",
[ModelClass.LARGE]: "gpt-4o", // [ModelClass.LARGE]: "claude-3-opus-20240229",
[ModelClass.EMBEDDING]: "text-embedding-3-small",
},
},
[ModelProviderName.OPENROUTER]: {
endpoint: "https://openrouter.ai/api/v1",
settings: {
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
// Available models: https://openrouter.ai/models
// To test other models, change the models below
model: {
[ModelClass.SMALL]:
settings.SMALL_OPENROUTER_MODEL ||
settings.OPENROUTER_MODEL ||
"nousresearch/hermes-3-llama-3.1-70b",
[ModelClass.MEDIUM]:
settings.MEDIUM_OPENROUTER_MODEL ||
settings.OPENROUTER_MODEL ||
"nousresearch/hermes-3-llama-3.1-405b",
[ModelClass.LARGE]:
settings.LARGE_OPENROUTER_MODEL ||
settings.OPENROUTER_MODEL ||
"nousresearch/hermes-3-llama-3.1-405b",
[ModelClass.EMBEDDING]:
"text-embedding-3-small",
},
},
[ModelProviderName.OLLAMA]: {
settings: {
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.3,
},
endpoint: settings.OLLAMA_SERVER_URL || "http://localhost:11434",
model: {
[ModelClass.SMALL]:
settings.SMALL_OLLAMA_MODEL ||
settings.OLLAMA_MODEL ||
"llama3.2",
[ModelClass.MEDIUM]:
settings.MEDIUM_OLLAMA_MODEL ||
settings.OLLAMA_MODEL ||
"hermes3",
[ModelClass.LARGE]:
settings.LARGE_OLLAMA_MODEL ||
settings.OLLAMA_MODEL ||
"hermes3:70b",
[ModelClass.EMBEDDING]:
settings.OLLAMA_EMBEDDING_MODEL || "mxbai-embed-large",
},
},
};
export function getModel(provider: ModelProviderName, type: ModelClass) {
return models[provider].model[type];
}
export function getEndpoint(provider: ModelProviderName) {
return models[provider].endpoint;
}
export default models;