tiennm99/cheahjs-free-llm-api-resources
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Update README and model mapping with new model details

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Jun Siang Cheah committed 2025-01-17 20:18:06 +00:00
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README.md
+6 -10
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@@ -112,15 +112,11 @@ This lists various services that provide free access or credits towards API-base
<tr><td>Qwen 2.5 Coder 32B</td><td>20 requests/minute</td></tr>
<tr><td>QwQ 32B Preview</td><td>10 requests/minute</td></tr>
<tr>
<td rowspan="3"><a href="https://cloud.cerebras.ai/" target="_blank">Cerebras</a></td>
<td rowspan="3">Free tier restricted to 8K context</td>
<td rowspan="2"><a href="https://cloud.cerebras.ai/" target="_blank">Cerebras</a></td>
<td rowspan="2">Free tier restricted to 8K context</td>
<td>Llama 3.1 8B</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>Llama 3.1 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>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>
@@ -140,26 +136,26 @@ 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 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>600 requests/minute<br>1,000,000 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>
<tr><td>Llama 3.3 70B Instruct</td><td></td></tr>
<tr><td>Mistral Nemo 2407</td><td>300 requests/minute<br>100,000 tokens/minute</td></tr>
<tr><td>Pixtral 12B (2409)</td><td>300 requests/minute<br>100,000 tokens/minute</td></tr>
<tr><td>Qwen2.5 Coder 32B Instruct</td><td></td></tr>
<tr><td>llama-3.3-70b-instruct</td><td></td></tr>
<tr><td>sentence-t5-xxl</td><td>600 requests/minute<br>1,000,000 tokens/minute</td></tr>
<tr><td>sentence-t5-xxl</td><td>100 requests/minute<br>200,000 tokens/minute</td></tr>
<tr><td rowspan="12"><a href="https://endpoints.ai.cloud.ovh.net/" target="_blank">OVH AI Endpoints (Free Beta)</a></td><td rowspan="12"></td><td>CodeLlama 13B Instruct</td><td>12 requests/minute</td></tr>
<tr><td>Codestral Mamba 7B v0.1</td><td>12 requests/minute</td></tr>
<tr><td>Llama 2 13B Chat</td><td>12 requests/minute</td></tr>
<tr><td>Llama 3 70B Instruct</td><td>12 requests/minute</td></tr>
<tr><td>Llama 3 8B Instruct</td><td>12 requests/minute</td></tr>
<tr><td>Llama 3.1 70B Instruct</td><td>12 requests/minute</td></tr>
<tr><td>Llava Next Mistral 7B</td><td>12 requests/minute</td></tr>
<tr><td>Mathstral 7B v0.1</td><td>12 requests/minute</td></tr>
<tr><td>Mistral 7B Instruct</td><td>12 requests/minute</td></tr>
<tr><td>Mistral Nemo 2407</td><td>12 requests/minute</td></tr>
<tr><td>Mixtral 8x22B Instruct</td><td>12 requests/minute</td></tr>
<tr><td>Mixtral 8x7B Instruct</td><td>12 requests/minute</td></tr>
<tr><td>llava-next-mistral-7b</td><td>12 requests/minute</td></tr>
<tr>
<td><a href="https://together.ai">Together</a></td>
<td></td>
src/pull_available_models.py
+4 -6
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@@ -168,6 +168,8 @@ MODEL_TO_NAME_MAPPING = {
"meta-llama/meta-llama-3.1-405b-instruct-virtuals": "Llama 3.1 405B Instruct Virtuals",
"llama-3.1-8b-instruct": "Llama 3.1 8B Instruct",
"deepseek-ai/deepseek-v3": "DeepSeek V3",
"llava-next-mistral-7b": "Llava Next Mistral 7B",
"llama-3.3-70b-instruct": "Llama 3.3 70B Instruct",
}
@@ -861,15 +863,11 @@ def main():
table += "</tr>\n"
table += """<tr>
<td rowspan="3"><a href="https://cloud.cerebras.ai/" target="_blank">Cerebras</a></td>
<td rowspan="3">Free tier restricted to 8K context</td>
<td rowspan="2"><a href="https://cloud.cerebras.ai/" target="_blank">Cerebras</a></td>
<td rowspan="2">Free tier restricted to 8K context</td>
<td>Llama 3.1 8B</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>Llama 3.1 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>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>