Loading...
Loading...
This 8-billion parameter language model with an 8K token context window is optimized for ranking and relevance tasks in enterprise search and information retrieval applications, making it ideal for Salesforce users and developers who need to implement semantic ranking, query-document matching, and result prioritization in customer relationship and business intelligence platforms.
Best for
Local run command
# Refer to provider docs: https://www.together.xyz/docs
Presumptive Specs:
Typical GPU
12–24 GB VRAM
System RAM
16+ GB
Disk
20+ GB free
Runtime
Docker / local runtime
Reference links
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
Input & output cost per 1M tokens over time
Price history is a Pro feature
Track pricing trends and catch price drops early.
Upgrade to Pro — $19/mo →Provider
Learn how to use Salesforce Llama Rank V1 (8B)
💡 Tip: Start with the sample prompts above to see how Salesforce Llama Rank V1 (8B) works best.
Proven prompts shared by the community for this model