Code Llama 70B

An Open-Source Code Generation Model

CommonProductOpenSourceOpen SourceCode Generation

Code Llama 70B is a large-scale open-source code generation language model capable of generating code in multiple programming languages based on natural language prompts or existing code snippets. Built on the general language model Llama 2 with 17.5 billion parameters, it has been fine-tuned specifically for code generation tasks and can efficiently and accurately generate code in languages such as Python, C++, and Java. In人工评估基准测试中，Code Llama 70B achieved a score of 67.8, surpassing the performance of previous open-source models and comparable to patented models. Its powerful code generation capabilities can enhance programming efficiency, reduce the threshold for coding, and inspire more innovative applications.

Best AI Websites & Tools

Code Llama 70B

Code Llama 70B Visit Over Time

Code Llama 70B Visit Trend

Code Llama 70B Visit Geography

Code Llama 70B Traffic Sources

Code Llama 70B Alternatives

iFLYTEK Spark — Comprehensively benchmarks the AI large language model against GPT-4 Turbo.

Reflection Llama-3.1 70B — The world's leading open-source large language model

OLMoE-1B-7B — An efficient open-source large language model.

OLMoE — An open-source expert mixture language model with 130 million active parameters.

Yi-Coder — An open-source large language model for efficient coding

Awesome ChatGPT Prompts — A collection of prompts for interacting with the ChatGPT model

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

OpenVoiceChat — Engage in natural voice conversations with large language models.

fact-finder — An intelligent question-answering system based on knowledge graphs.

CursorLens — An open-source dashboard providing AI-assisted coding for Cursor.sh IDE.

1.5-Pints — A compact large language model pre-trained in 9 days

speech-to-speech — Open-source speech-to-speech conversion module

llama3-s — An open-source language model currently being trained, equipped with 'hearing' capabilities.

WeST — Implement speech transcription based on LLM in just 300 lines of code.

Agents 2.0 — Open-source framework supporting data-driven adaptive language agents.

RWKV — The new generation of large-scale model architecture, surpassing transformer.

gemma-2-9b — Lightweight, advanced text generation model

DeepSeek-Coder-V2-Lite-Base — An open-source code language model designed to enhance programming and mathematical reasoning abilities.

YAYI-UIE Information Extraction Large Model — High-quality information extraction model based on massive data

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Granite Code Models — An open-source foundation model designed for code intelligence tasks, supporting 116 programming languages.

Cognita — An open-source framework for constructing modular production-level applications.

GraphRAG — An end-to-end system that integrates text extraction, network analysis, and large language model prompting and summarization

Qwen1.5-110B — The first petabyte-scale open-source model in the Qwen1.5 series, supporting multilingual functionality and an efficient Transformer decoder architecture.

Snowflake Arctic — An efficient enterprise-level AI model that achieves high-quality custom models at a low cost.

OpenELM — OpenELM is a family of efficient language models equipped with an open-source training and inference framework.

Meta Llama 3 — Meta's new generation of open-source large language model with excellent performance

Qwen1.5-MoE-A2.7B — A large-scale MoE (Mixture of Experts) language model whose performance rivals that of 70 billion parameter models.

Yi-9B — Next-generation open-source and bilingual large language model