alpindale/goliath-120b
6,144 context · $3.75/M input tokens · $7.50/M output tokens
A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale. Credits to - @chargoddard for developing the framework used to merge...
Pay-per-use
Nessun costo iniziale, paga solo per ciò che usi
Usa i seguenti esempi di codice per integrare la nostra API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="alpindale/goliath-120b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)A large LLM created by combining two fine-tuned Llama 70B models into one 120B model
A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale.
Credits to
#merge
| Specification | Value |
|---|---|
| Provider | Alpindale |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 6144 tokens |
| Max Output | 1024 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $4.1 |
| Output | $8.2 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: alpindale/goliath-120b
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="alpindale/goliath-120b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "alpindale/goliath-120b",
"messages": [{"role": "user", "content": "Hello!"}]
}'alpindale/goliath-120b
A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale. Credits to - [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge...
Input
$3.75 /M
Output
$7.5 /M
Contesto
6K
Output max
1K
Accedi a Goliath 120b tramite la nostra API unificata — compatibile con OpenAI, senza cold start, prezzi trasparenti.
Apri PlaygroundPrezzi su WaveSpeedAI: $3.75 per milione di token in input e $7.50 per milione di token in output. Prompt caching e batch processing sono fatturati separatamente e riducono il costo effettivo su carichi lunghi e ripetitivi.
Goliath 120b supporta fino a 6K token di contesto e fino a 1K token di output per richiesta.
Sì. WaveSpeedAI espone Goliath 120b tramite un endpoint compatibile con OpenAI all'indirizzo https://llm.wavespeed.ai/v1. Punta l'SDK ufficiale di OpenAI a questa base URL con la tua API key WaveSpeedAI — senza altre modifiche al codice.
Accedi a WaveSpeedAI, crea una API key in Access Keys, poi invia una richiesta a https://llm.wavespeed.ai/v1/chat/completions con il model id mostrato sopra. I nuovi account ricevono crediti gratuiti per testare Goliath 120b.