DeepSeek Coder
A code-focused large language model developed by DeepSeek AI. It serves as the pre-training base model for DeepSeek Math and demonstrates strong logical reasoning capabilities applicable to both code generation and mathematical problem solving.
Core Facts
Ollama is an open-source local large language model runtime framework that supports open-source models such as Llama 3, Mistral, CodeLlama, and DeepSeek Coder.
Open-source models such as Meta's Llama, Mistral, and DeepSeek can be run locally with one click using tools like Ollama and LM Studio.
Tabby supports multiple code generation models including StarCoder/StarCoder2, CodeLlama, and DeepSeek Coder.
Timeline (last 90 days)
In November 2023, DeepSeek open-sourced the DeepSeek LLM and Coder models, with the largest model having 67 billion parameters and trained on 2 trillion tokens.
Llama、DeepSeek Coder、Qwen Coder 等开源模型使越来越多开发者选择在本地部署编程助手以兼顾隐私、成本与可控性
Both the Qwen Coder and DeepSeek Coder series offer parameter scales ranging from 1.5B to 33B.
Compressing DeepSeek Coder to 2-bit loses 67% of passing solutions, whereas the 4-bit version sacrifices only 2% for a 70% reduction in size.
Open-source models such as locally deployed Code Llama and DeepSeek Coder can be combined to handle non-core tasks, reducing reliance on paid quotas.
Different AI models perform significantly differently on different tasks: Claude excels at long-context code understanding, GPT-4o has an advantage in multimodal interaction, and DeepSeek Coder and Qwen Coder are attractive in terms of cost control and private deployment.
Open-source models such as DeepSeek Coder V2 and Qwen2.5 Coder can be used offline with zero API cost through local inference frameworks like Ollama.
Developers can use tools such as Ollama and LM Studio to run open-source code models (such as DeepSeek Coder and Code Llama) locally as a backup solution; their capability ceiling is below that of top cloud-based models but they are fully controllable.
Open-source models such as Meta's Llama, Mistral, and DeepSeek can be run locally with one click using tools like Ollama and LM Studio.
All Facts (13)
Ollama is an open-source local large language model runtime framework that supports open-source models such as Llama 3, Mistral, CodeLlama, and DeepSeek Coder.
70%VerifiedOpen-source models such as Meta's Llama, Mistral, and DeepSeek can be run locally with one click using tools like Ollama and LM Studio.
65%VerifiedTabby supports multiple code generation models including StarCoder/StarCoder2, CodeLlama, and DeepSeek Coder.
65%UnverifiedContinue是一个开源AI编程助手框架，允许开发者自由选择后端模型，包括本地部署的Code Llama、DeepSeek Coder等开源模型
85%UnverifiedDeepSeek Coder和CodeLlama等专门针对代码优化的模型进一步降低了代码生成的错误率
70%UnverifiedOpen-source models such as DeepSeek Coder V2 and Qwen2.5 Coder can be used offline with zero API cost through local inference frameworks like Ollama.
60%UnverifiedDevelopers can use tools such as Ollama and LM Studio to run open-source code models (such as DeepSeek Coder and Code Llama) locally as a backup solution; their capability ceiling is below that of top cloud-based models but they are fully controllable.
60%UnverifiedLlama、DeepSeek Coder、Qwen Coder 等开源模型使越来越多开发者选择在本地部署编程助手以兼顾隐私、成本与可控性
50%UnverifiedBoth the Qwen Coder and DeepSeek Coder series offer parameter scales ranging from 1.5B to 33B.
50%UnverifiedCompressing DeepSeek Coder to 2-bit loses 67% of passing solutions, whereas the 4-bit version sacrifices only 2% for a 70% reduction in size.
50%UnverifiedOpen-source models such as locally deployed Code Llama and DeepSeek Coder can be combined to handle non-core tasks, reducing reliance on paid quotas.
50%UnverifiedDifferent AI models perform significantly differently on different tasks: Claude excels at long-context code understanding, GPT-4o has an advantage in multimodal interaction, and DeepSeek Coder and Qwen Coder are attractive in terms of cost control and private deployment.
50%UnverifiedIn November 2023, DeepSeek open-sourced the DeepSeek LLM and Coder models, with the largest model having 67 billion parameters and trained on 2 trillion tokens.
50%