What are the differences?
Between the OpenChat 3.5 0106 and Llama 2 Chat 70B LLM models, which follows best instructions?
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OpenChat 3.5 0106
OpenChat
Llama 2 Chat 70B
Meta
Overview
OpenChat 3.5 0106 | Llama 2 Chat 70B | |
|---|---|---|
Provider Organization responsible for this model. | OpenChat | Meta |
Input Context Window The total number of tokens that the input context window can accommodate. | 8.2K | 4.1K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4.1K | 2K |
Release Date The initial release date of the model. | November 1, 2023 24 months ago | July 18, 2023 28 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2024/1 |
Pricing
OpenChat 3.5 0106 | Llama 2 Chat 70B | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | Not specified. |
Output Costs associated with the tokens produced by the model. | Not specified. | Not specified. |
Benchmark
OpenChat 3.5 0106 | Llama 2 Chat 70B | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 65.8 | 68.9 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | 30.1 | |
HellaSwag A demanding benchmark for sentence completion tasks. | 85.3 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1091 | 1088 |
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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
