tiennm99/cheahjs-free-llm-api-resources
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Jun Siang Cheah committed 2025-01-27 21:37:07 +07:00
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README.md
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@@ -121,7 +121,7 @@ This lists various services that provide free access or credits towards API-base
<tr>
<td>Llama 3.3 70B</td>
<td>30 requests/minute<br>60,000 tokens/minute<br>900 requests/hour<br>1,000,000 tokens/hour<br>14,400 requests/day<br>1,000,000 tokens/day</td>
</tr><tr><td rowspan="15"><a href="https://console.groq.com" target="_blank">Groq</a></td><td rowspan="15"></td><td>Distil Whisper Large v3</td><td>7,200 audio-seconds/minute<br>2,000 requests/day</td></tr>
</tr><tr><td rowspan="16"><a href="https://console.groq.com" target="_blank">Groq</a></td><td rowspan="16"></td><td>Distil Whisper Large v3</td><td>7,200 audio-seconds/minute<br>2,000 requests/day</td></tr>
<tr><td>Gemma 2 9B Instruct</td><td>14,400 requests/day<br>15,000 tokens/minute</td></tr>
<tr><td>Llama 3 70B</td><td>14,400 requests/day<br>6,000 tokens/minute</td></tr>
<tr><td>Llama 3 8B</td><td>14,400 requests/day<br>20,000 tokens/minute</td></tr>
@@ -136,6 +136,7 @@ This lists various services that provide free access or credits towards API-base
<tr><td>Mixtral 8x7B</td><td>14,400 requests/day<br>5,000 tokens/minute</td></tr>
<tr><td>Whisper Large v3</td><td>7,200 audio-seconds/minute<br>2,000 requests/day</td></tr>
<tr><td>Whisper Large v3 Turbo</td><td>7,200 audio-seconds/minute<br>2,000 requests/day</td></tr>
<tr><td>deepseek-r1-distill-llama-70b</td><td>1,000 requests/day<br>6,000 tokens/minute</td></tr>
<tr><td rowspan="8"><a href="https://console.scaleway.com/generative-api/models" target="_blank">Scaleway Generative APIs (Free Beta)</a></td><td rowspan="8"></td><td>BGE-Multilingual-Gemma2</td><td>100 requests/minute<br>200,000 tokens/minute</td></tr>
<tr><td>Llama 3.1 70B Instruct</td><td>300 requests/minute<br>100,000 tokens/minute</td></tr>
<tr><td>Llama 3.1 8B Instruct</td><td>300 requests/minute<br>100,000 tokens/minute</td></tr>
src/pull_available_models.py
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@@ -678,7 +678,7 @@ def fetch_scaleway_models(logger):
ret_models = sorted(ret_models, key=lambda x: x["name"])
logger.info("Fetching Scaleway rate limits")
r = requests.get(
"https://www.scaleway.com/en/docs/ai-data/generative-apis/reference-content/rate-limits/"
"https://www.scaleway.com/en/docs/generative-apis/reference-content/rate-limits/"
)
r.raise_for_status()
# Extract <main> content