Dolphin Llama 3 70B 🐬

About Dolphin Llama 3 70B 🐬

Dolphin 2.9 is designed for instruction following, conversational, and coding. This model is a fine-tune of [Llama 3 70B](/models/meta-llama/llama-3-70b-instruct). It demonstrates improvements in instruction, conversation, coding, and function calling abilities, when compared to the original. Uncensored and is stripped of alignment and bias, it requires an external alignment layer for ethical use. Users are cautioned to use this highly compliant model responsibly, as detailed in a blog post about uncensored models at [erichartford.com/uncensored-models](https://erichartford.com/uncensored-models). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).

Model Specifications

Other Model Lineup

Compare all models from Other to find the best fit

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Gemma 3n 4B

Google

Input: Free

Output: Free

Context: 33k

Qwen2.5-VL 7B Instruct

Alibaba Qwen

Input: Free

Output: Free

Context: 33k

Seedream 4.5

ByteDance

Input: Free

Output: Free

Context: 4k

FLUX.2 Max

Black Forest Labs

Input: Free

Output: Free

Context: 47k

🚀 Quick Start

Get started with Dolphin Llama 3 70B 🐬 API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="cognitivecomputations/dolphin-llama-3-70b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Continue Your Decision