Claude 3.5 Sonnet

ProviderAnthropic
Categorytext generation
ParametersUnknown
LicenseProprietary
Downloads20.0M
Stars12.0K

Overview

Claude 3.5 Sonnet is a high-performance LLM designed to bridge the gap between speed and complex reasoning. For developers, its primary value lies in its sophisticated coding capabilities and nuanced instruction following, often outperforming larger models in logic-heavy tasks. It excels at refactoring legacy code, generating precise documentation, and handling complex multi-step workflows without losing context. Integration is streamlined via a standard API, making it a viable drop-in replacement for existing AI pipelines where high reliability and lower latency are required. Compared to previous iterations, it demonstrates a significant leap in spatial reasoning and a more natural, less robotic tone in generated text.

Highlights

  • Superior coding proficiency and complex logic reasoning
  • Fast inference speeds with high-tier intelligence
  • Exceptional nuance in instruction following and formatting
  • Seamless API integration for production-ready workflows

Usage

API Example
# Install Anthropic SDK
pip install anthropic

# Use API
import anthropic
client = anthropic.Anthropic(api_key="your-api-key")

message = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)
print(message.content)

Hugging Face Download

We recommend downloading the model via the Hugging Face CLI or Hub SDK.

Guidance:Before downloading, install huggingface_hub with:

Guidance
pip install -U huggingface_hub

CLI Download

Download the full repository

Download the full repository
huggingface-cli download anthropic/claude-3.5-sonnet

Download a single file to a local folder (e.g. config.json into ./dir)

Download a single file to a local folder (e.g. config.json into ./dir)
huggingface-cli download anthropic/claude-3.5-sonnet config.json --local-dir ./dir

See the official docs for more CLI options

SDK Download

SDK Download
# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('anthropic/claude-3.5-sonnet')

Git Download

Make sure git-lfs is installed first

Git Download
git lfs install
git clone https://huggingface.co/anthropic/claude-3.5-sonnet

To skip LFS large-file downloads, use:

Skip LFS
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/anthropic/claude-3.5-sonnet

Model files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.

PyTorch / Transformers Usage

Install Transformers

Install Transformers
pip install -U transformers torch

Load the model and run inference

Load the model and run inference
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('anthropic/claude-3.5-sonnet')
tokenizer = AutoTokenizer.from_pretrained('anthropic/claude-3.5-sonnet')
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