tiennm99/cheahjs-free-llm-api-resources
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Jun Siang Cheah committed 2025-03-13 08:56:45 +00:00
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commit 7ca42c16a5
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README.md
+7 -3
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@@ -61,8 +61,8 @@ This lists various services that provide free access or credits towards API-base
<tr><td>Toppy M 7B</td><td></td></tr>
<tr><td>Zephyr 7B Beta</td><td></td></tr>
<tr>
<td rowspan="10"><a href="https://aistudio.google.com" target="_blank">Google AI Studio</a></td>
<td rowspan="10">Data is used for training (when used outside of the UK/CH/EEA/EU).</td>
<td rowspan="11"><a href="https://aistudio.google.com" target="_blank">Google AI Studio</a></td>
<td rowspan="11">Data is used for training (when used outside of the UK/CH/EEA/EU).</td>
<td>Gemini 2.0 Flash</td>
<td>1,000,000 tokens/minute<br>1,500 requests/day<br>15 requests/minute</td>
</tr>
@@ -94,9 +94,13 @@ This lists various services that provide free access or credits towards API-base
<td>LearnLM 1.5 Pro (Experimental)</td>
<td>1,500 requests/day<br>15 requests/minute</td>
</tr>
<tr>
<td>Gemma 3 27B Instruct</td>
<td></td>
</tr>
<tr>
<td>text-embedding-004</td>
<td rowspan="2">150 batch requests/minute<br>1,500 requests/minute<br>100 content/batch</td>
<td rowspan="3">150 batch requests/minute<br>1,500 requests/minute<br>100 content/batch</td>
</tr>
<tr>
<td>embedding-001</td>
src/pull_available_models.py
+25 -14
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@@ -214,6 +214,13 @@ MODEL_TO_NAME_MAPPING = {
"qwen/qwen-2.5-coder-32b-instruct:free": "Qwen2.5 Coder 32B Instruct",
"mistral-7b-instruct-v0.3": "Mistral 7B Instruct v0.3",
"moonshotai/moonlight-16b-a3b-instruct:free": "Moonlight-16B-A3B-Instruct",
"google/gemma-3-27b-it:free": "Gemma 3 27B Instruct",
"qwen/qwen-2.5-72b-instruct:free": "Qwen 2.5 72B Instruct",
"rekaai/reka-flash-3:free": "Reka Flash 3",
"deepseek/deepseek-r1-distill-qwen-32b:free": "DeepSeek R1 Distill Qwen 32B",
"deepseek/deepseek-r1-distill-qwen-14b:free": "DeepSeek R1 Distill Qwen 14B",
"qwen/qwen2.5-vl-72b-instruct": "Qwen2.5 VL 72B Instruct",
"qwen/qwq-32b-preview:free": "Qwen QwQ 32B Preview",
}
@@ -857,8 +864,8 @@ def main():
table += "</tr>\n"
table += f"""<tr>
<td rowspan="10"><a href="https://aistudio.google.com" target="_blank">Google AI Studio</a></td>
<td rowspan="10">Data is used for training (when used outside of the UK/CH/EEA/EU).</td>
<td rowspan="11"><a href="https://aistudio.google.com" target="_blank">Google AI Studio</a></td>
<td rowspan="11">Data is used for training (when used outside of the UK/CH/EEA/EU).</td>
<td>Gemini 2.0 Flash</td>
<td>{get_human_limits({"limits": gemini_models["gemini-2.0-flash"]})}</td>
</tr>
@@ -890,9 +897,13 @@ def main():
<td>LearnLM 1.5 Pro (Experimental)</td>
<td>{get_human_limits({"limits": gemini_models["learnlm-1.5-pro-experimental"]})}</td>
</tr>
<tr>
<td>Gemma 3 27B Instruct</td>
<td>{get_human_limits({"limits": gemini_models["gemma-3-27b-it"]})}</td>
</tr>
<tr>
<td>text-embedding-004</td>
<td rowspan="2">{get_human_limits({"limits": gemini_models["project-embedding"]})}<br>100 content/batch</td>
<td rowspan="3">{get_human_limits({"limits": gemini_models["project-embedding"]})}<br>100 content/batch</td>
</tr>
<tr>
<td>embedding-001</td>
@@ -943,17 +954,6 @@ def main():
table += f"<td>{get_human_limits(model)}</td>"
table += "</tr>\n"
for idx, model in enumerate(scaleway_models):
table += "<tr>"
if idx == 0:
table += '<td rowspan="' + str(len(scaleway_models)) + '">'
table += '<a href="https://console.scaleway.com/generative-api/models" target="_blank">Scaleway Generative APIs (Free Beta until 12 March 2025)</a>'
table += "</td>"
table += '<td rowspan="' + str(len(scaleway_models)) + '"></td>'
table += f"<td>{model['name']}</td>"
table += f"<td>{get_human_limits(model)}</td>"
table += "</tr>\n"
for idx, model in enumerate(ovh_models):
table += "<tr>"
if idx == 0:
@@ -1084,6 +1084,17 @@ def main():
trial_table += f"<td>{model['name']}</td>"
trial_table += "</tr>\n"
for idx, model in enumerate(scaleway_models):
trial_table += "<tr>"
if idx == 0:
trial_table += '<td rowspan="' + str(len(scaleway_models)) + '">'
trial_table += '<a href="https://console.scaleway.com/generative-api/models" target="_blank">Scaleway Generative APIs</a>'
trial_table += "</td>"
trial_table += '<td rowspan="' + str(len(scaleway_models)) + '">1,000,000 free tokens</td>'
trial_table += f"<td>{get_human_limits(model)}</td>"
trial_table += f"<td>{model['name']}</td>"
trial_table += "</tr>\n"
if MISSING_MODELS:
logger.warning("Missing models:")
logger.warning(