What are the differences?
Between the Vicuna 33B and GPT-3.5 Turbo LLM models, which follows best instructions?
Compare
to
Vicuna 33B
LMSYS
GPT-3.5 Turbo
OpenAI
Overview
Vicuna 33B | GPT-3.5 Turbo | |
|---|---|---|
Provider Organization responsible for this model. | LMSYS | OpenAI |
Input Context Window The total number of tokens that the input context window can accommodate. | 2K | 4.1K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | Not specified. | 4.1K |
Release Date The initial release date of the model. | June 22, 2023 29 months ago | November 28, 2022 36 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/8 |
Pricing
Vicuna 33B | GPT-3.5 Turbo | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | $0.00 |
Output Costs associated with the tokens produced by the model. | Not specified. | $0.00 |
Benchmark
Vicuna 33B | GPT-3.5 Turbo | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 59.2 | 70 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | 85.5 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1090 |
5000+ teams use Lunary to build reliable AI applications
Building an AI chatbot?
Open-source GenAI monitoring, prompt management, and magic.
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
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
