What are the differences?
Between the Starling LM 7B Beta and Mixtral 8x22b Instruct v0.1 LLM models, which follows best instructions?
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Starling LM 7B Beta
Berkeley Nest
Mixtral 8x22b Instruct v0.1
Mistral
Overview
Starling LM 7B Beta | Mixtral 8x22b Instruct v0.1 | |
|---|---|---|
Provider Organization responsible for this model. | Berkeley Nest | Mistral |
Input Context Window The total number of tokens that the input context window can accommodate. | 3.1K | 64K |
Maximum Output Tokens The maximum number of tokens this model can produce in one operation. | 4.1K | Not specified. |
Release Date The initial release date of the model. | November 15, 2023 24 months ago | Not specified. |
Knowledge Cutoff The latest date for which the information provided is considered reliable and current. | 2024/3 |
Pricing
Starling LM 7B Beta | Mixtral 8x22b Instruct v0.1 | |
|---|---|---|
Input Costs associated with the data input to the model. | Not specified. | $2.00 |
Output Costs associated with the tokens produced by the model. | Not specified. | $6.00 |
Benchmark
Starling LM 7B Beta | Mixtral 8x22b Instruct v0.1 | |
|---|---|---|
MMLU Assesses LLMs' ability to acquire knowledge in zero-shot and few-shot scenarios. | 63.9 | 77.8 |
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 | 1147 |
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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
