Best Jetbrains Local LLM

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Best 1 Ollama with CodeLlama-7B
Ollama with CodeLlama-7B

This combination represents the gold standard for accessible local coding assistance. Ollama provides a simple, robust API layer, while CodeLlama offers specialized performance on code tasks. It is hi...

9.8 Brilliant
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2 LM Studio with Mistral-7B
LM Studio with Mistral-7B

LM Studio provides the most user-friendly graphical interface for managing and running various quantized models, making it ideal for developers new to local LLMs. Pairing it with Mistral-7B offers a f...

9.4 Excellent
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3 vLLM Deployment on Dedicated GPU
vLLM Deployment on Dedicated GPU

For developers integrating LLMs into production-like local tools, vLLM offers superior throughput and advanced serving capabilities. While the setup is significantly more complex, it allows for highly...

9.0 Excellent
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4 llama.cpp Direct Integration
llama.cpp Direct Integration

This method involves compiling and integrating the core llama.cpp library directly into a custom tool or wrapper. It offers unparalleled control over memory management and CPU/GPU utilization, making...

8.8 Very Good
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5 Microsoft Phi-3 Mini (via Ollama)
Microsoft Phi-3 Mini (via Ollama)

Microsoft's Phi-3 Mini is renowned for achieving surprisingly high performance given its small parameter count. When run via Ollama, it offers excellent reasoning capabilities in a very lightweight pa...

8.5 Very Good
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6 Google Gemma 2B (via Ollama)
Google Gemma 2B (via Ollama)

Google's Gemma models provide a strong, open-weights alternative backed by Google's research. The 2B variant is extremely efficient, making it highly portable. While its coding specialization might tr...

8.2 Very Good
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7 Llama 3 8B (via Ollama)
Llama 3 8B (via Ollama)

Llama 3 8B represents a massive leap in general reasoning and instruction following for local models. While not exclusively a coding model, its superior coherence and ability to follow complex, multi-...

8.0 Very Good
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8 Mixtral 8x7B (via Ollama)
Mixtral 8x7B (via Ollama)

Mixtral provides massive effective parameter count and superior context handling due to its Mixture-of-Experts (MoE) architecture. This makes it phenomenal for understanding very large codebases or co...

7.8 Good
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9 CodeLlama-13B (via Ollama)
CodeLlama-13B (via Ollama)

This model remains a benchmark for code generation specifically. The 13B variant offers a significant step up in code quality and complexity handling compared to the 7B version. It excels at generatin...

7.5 Good
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10 DeepSeek Coder (via Ollama)
DeepSeek Coder (via Ollama)

DeepSeek Coder is highly regarded in academic circles for its strong performance across a wide array of programming languages. It often provides superior accuracy in understanding niche or complex lan...

7.2 Good
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11 StarCoder2 (via Local Inference)
StarCoder2 (via Local Inference)

StarCoder2, developed by Hugging Face/ServiceNow, is built with a massive, diverse dataset, giving it unparalleled breadth in understanding code patterns. While integration might require more manual s...

7.0 Good
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12 JetBrains AI Assistant (Local Model Integration)
JetBrains AI Assistant (Local Model Integration)

This advanced configuration involves connecting the JetBrains AI Assistant to a locally hosted model (like those run via Ollama). It merges the superior IDE understanding of JetBrains with the absolut...

6.8 Fair
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13 TinyLlama-1.1B (via Ollama)
TinyLlama-1.1B (via Ollama)

For the absolute minimum resource requirement, TinyLlama is unmatched. It runs incredibly fast, even on low-power CPUs, making it perfect for simple, real-time autocomplete suggestions where latency i...

6.5 Fair
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14 Mistral-Instruct-7B (via LM Studio)
Mistral-Instruct-7B (via LM Studio)

This specific variant, accessed via LM Studio, is tuned for instruction following, making it excellent for chat-style interactions within the IDE (e.g., 'Explain this block of code'). It's a great fal...

6.2 Fair
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15 CodeGeeX (Local Implementation)
CodeGeeX (Local Implementation)

CodeGeeX is a highly capable, commercially backed model series. While official integration might be complex, running local versions provides robust, multi-language code completion that rivals the top...

5.8 Average
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