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...
按量付费
无需预付费用，仅按实际使用量付费
使用以下代码示例接入我们的 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...
输入
$3.75 /M
输出
$7.5 /M
上下文
6K
最大输出
1K
WaveSpeedAI 定价:输入每百万 token $3.75,输出每百万 token $7.50。Prompt 缓存和批处理单独计费,可显著降低长上下文、高重复任务的实际成本。
Goliath 120b 单次请求最多支持 6K 上下文 token,输出最多 1K token。
是的。WaveSpeedAI 通过 https://llm.wavespeed.ai/v1 的 OpenAI 兼容端点提供 Goliath 120b。把官方 OpenAI SDK 的 base URL 指向该地址,使用 WaveSpeedAI 的 API Key 即可,无需任何其他代码改动。
登录 WaveSpeedAI,在 Access Keys 中生成 API Key,使用上方显示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 发送请求。新账户可获得免费额度,用于试用 Goliath 120b。