What are the differences?
Between the Vicuna 33B and Command R LLM models, which follows best instructions?
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Vicuna 33B
LMSYS
Command R
Cohere For AI
Overview
Vicuna 33B | Command R | |
|---|---|---|
Provider Organization responsible for this model. | LMSYS | Cohere For AI |
Input Context Window The total number of tokens that the input context window can accommodate. | 2K | 128K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | Not specified. | 4K |
Release Date The initial release date of the model. | June 22, 2023 29 months ago | April 4, 2024 19 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/8 |
Pricing
Vicuna 33B | Command R | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | $0.50 |
Output Costs associated with the tokens produced by the model. | Not specified. | $1.50 |
Benchmark
Vicuna 33B | Command R | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 59.2 | 68 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | ||
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1090 | 1148 |
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Open Source
Self Hostable
1-line Integration
Prompt Templates
Chat Replays
Analytics
Topic Classification
Agent Tracing
Custom Dashboards
Score LLM responses
PII Masking
Feedback Tracking
