Snorkel Mistral PairRM

Released
2023-11-15
Last refreshed
2026-10-07
Status
Researched 148d ago
Open sourceCommercial use: permitted
Specifications
Family
Snorkel
Released
2023-11-15
Context
32K
Parameters
7B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
Apache 2.0OSI-approvedPermitted
Weights
Not released
Code
Unknown
Training
Fine-tuned
Created by

Programmatic data labeling accelerates AI

Redwood City, California, United States
Founded 2019
Website
Pricing
Output / 1M
$0.200
Input / 1M
$0.200

Cheapest of 1 route · Fireworks AI

About

The Snorkel Mistral PairRM-DPO is a chat-optimized large language model, leveraging the Mistral-7B-Instruct-v0.2 architecture. Designed to interpret and respond efficiently to user inputs, it employs Direct Preference Optimization alongside the Pairwise Reward Model (PairRM) to enhance its alignment with human preferences. Exclusively trained on the UltraFeedback dataset without input from other LLMs, it excels in generating text for conversational contexts, ranking third on the AlpacaEval 2.0 leaderboard at 30.22. Post-processing with PairRM-best-of-16 boosts its score to 34.86.

Providers(1)

Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.200$0.200
Provisioned

Deprecated provider routes(1)

ProviderStatusCatalog ID
Together AIDeprecated—

Available via routers & gateways(1)

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

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