antoinelyset/openhermes-2-mistral-7b-awq 🔢📝✓ → 📝
About
Example Output
Prompt:
"[
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "What is Slite?"
}
]"
Output
Slite is a knowledge management tool that helps teams to collaborate, share, and organize their knowledge effectively. It provides a centralized platform for teams to create, store, and find information, making it easier for them to work together and make informed decisions. Slite offers features such as note-taking, document management, task management, and real-time collaboration, making it an essential tool for teams that need to keep their knowledge organized and easily accessible.
Performance Metrics
1.18s
Prediction Time
74.62s
Total Time
All Input Parameters
{ "top_k": 50, "top_p": 0.9, "prompt": "[\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"What is Slite?\"\n }\n ]", "temperature": 0.75, "max_new_tokens": 512, "use_beam_search": false }
Input Parameters
- top_k
- When decoding text, samples from the top k most likely tokens; lower to ignore less likely tokens
- top_p
- When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
- prompt (required)
- The JSON stringified of the messages (array of objects with role/content like OpenAI) to predict on
- temperature
- Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.
- max_new_tokens
- Max new tokens
- use_beam_search
- Whether to use beam search instead of sampling
Output Schema
Output
Example Execution Logs
Processed prompts: 0%| | 0/1 [00:00<?, ?it/s] Processed prompts: 100%|██████████| 1/1 [00:01<00:00, 1.13s/it] Processed prompts: 100%|██████████| 1/1 [00:01<00:00, 1.13s/it]
Version Details
- Version ID
f48e0a295349761472cd9bf25f6e1ad6249e41dc702a928e149097cc8eca18c9
- Version Created
- November 9, 2023