Author's Description
Dolphin 3.0 R1 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases. The R1 version has been trained for 3 epochs to reason using 800k reasoning traces from the Dolphin-R1 dataset. Dolphin aims to be a general purpose reasoning instruct model, similar to the models behind ChatGPT, Claude, Gemini. Part of the [Dolphin 3.0 Collection](https://huggingface.co/collections/cognitivecomputations/dolphin-30-677ab47f73d7ff66743979a3) Curated and trained by [Eric Hartford](https://huggingface.co/ehartford), [Ben Gitter](https://huggingface.co/bigstorm), [BlouseJury](https://huggingface.co/BlouseJury) and [Cognitive Computations](https://huggingface.co/cognitivecomputations)
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
Dolphin 3.0 R1 Mistral 24B, a general-purpose instruct-tuned model, demonstrates exceptional speed, consistently ranking among the fastest models available. Its pricing is also highly competitive, placing it in the 92nd percentile for cost-efficiency across benchmarks. While excelling in speed and affordability, the model's accuracy across various benchmarks indicates significant room for improvement. Its performance in Instruction Following (27.2%), Coding (18.2%), and Reasoning (26.0%) is notably low, placing it in the lower percentiles for these critical categories. Even in Email Classification (89.0%) and General Knowledge (76.0%), where accuracy is higher, its percentile rankings (15th and 23rd respectively) suggest it lags behind many peers. The model's primary strength lies in its rapid processing and cost-effectiveness, making it an attractive option for applications where speed and budget are paramount. However, its current accuracy levels across core reasoning and instruction-following tasks represent a significant weakness, limiting its utility for scenarios demanding high precision and complex problem-solving.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.01 |
Completion | $0.0341 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Chutes
|
Chutes | cognitivecomputations/dolphin3.0-r1-mistral-24b | 32K | $0.01 / 1M tokens | $0.0341 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by cognitivecomputations
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Dolphin3.0 Mistral 24B | Feb 13, 2025 | 24B | 32K |
Text input
Text output
|
★★★★ | ★★★★ | $ |
Dolphin 2.9.2 Mixtral 8x22B 🐬 | Jun 07, 2024 | 22B | 16K |
Text input
Text output
|
★★ | ★★★ | $$$$ |