What are the differences?
Between the GPT-4 32K 0613 and Starling LM 7B Beta LLM models, which follows best instructions?
Compare
to
GPT-4 32K 0613
OpenAI
Starling LM 7B Beta
Berkeley Nest
Overview
GPT-4 32K 0613 | Starling LM 7B Beta | |
|---|---|---|
Provider Organization responsible for this model. | OpenAI | Berkeley Nest |
Input Context Window The total number of tokens that the input context window can accommodate. | 33K | 3.1K |
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 13, 2023 29 months ago | November 15, 2023 24 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2021/9 |
Pricing
GPT-4 32K 0613 | Starling LM 7B Beta | |
|---|---|---|
Input Costs associated with the data input to the model. | $0.06 | Not specified. |
Output Costs associated with the tokens produced by the model. | $0.12 | Not specified. |
Benchmark
GPT-4 32K 0613 | Starling LM 7B Beta | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 63.9 | |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | ||
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1119 |
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
