What are the differences?
Between the Llama 2 7b Chat and OpenChat 3.5 0106 LLM models, which follows best instructions?
Compare
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Llama 2 7b Chat
Meta

OpenChat 3.5 0106
OpenChat
Overview
Llama 2 7b Chat | ![]() OpenChat 3.5 0106 | |
|---|---|---|
Provider Organization responsible for this model. | Meta | ![]() OpenChat |
Input Context Window The total number of tokens that the input context window can accommodate. | 4.1K | 8.2K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 2K | 4.1K |
Release Date The initial release date of the model. | July 18, 2023 28 months ago | November 1, 2023 24 months ago |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2023/7 |
Pricing
Llama 2 7b Chat | ![]() OpenChat 3.5 0106 | |
|---|---|---|
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
Llama 2 7b Chat | ![]() OpenChat 3.5 0106 | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 45.3 | 65.8 |
MMMU Comprehensive benchmark covering multiple disciplines and modalities. | ||
HellaSwag A demanding benchmark for sentence completion tasks. | 77.2 | |
Arena Elo Ranking metric for LMSYS Chatbot Arena. | 1040 | 1091 |
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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
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





