Codeninja 7B Q4 How To Use Prompt Template

Codeninja 7B Q4 How To Use Prompt Template - Here are all example prompts easily to copy, adapt and use for yourself (external link, linkedin) and here is a handy pdf version of the cheat sheet (external link, bp) to take with you. This repo contains gguf format model files for beowulf's codeninja 1.0 openchat 7b. Gptq models for gpu inference, with multiple quantisation parameter options. I understand getting the right prompt format is critical for better answers. If using chatgpt to generate/improve prompts, make sure you read the generated prompt. Ensure you select the openchat preset, which incorporates the necessary. Using lm studio the simplest way to engage with codeninja is via the quantized versions on lm studio. Available in a 7b model size, codeninja is adaptable for local runtime environments.

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Ensure you select the openchat preset, which incorporates the necessary. Gptq models for gpu inference, with multiple quantisation parameter options. If using chatgpt to generate/improve prompts, make sure you read the generated prompt. This repo contains gguf format model files for beowulf's codeninja 1.0 openchat 7b. Using lm studio the simplest way to engage with codeninja is via the quantized versions on lm studio. Available in a 7b model size, codeninja is adaptable for local runtime environments. Here are all example prompts easily to copy, adapt and use for yourself (external link, linkedin) and here is a handy pdf version of the cheat sheet (external link, bp) to take with you. I understand getting the right prompt format is critical for better answers.

I Understand Getting The Right Prompt Format Is Critical For Better Answers.

Here are all example prompts easily to copy, adapt and use for yourself (external link, linkedin) and here is a handy pdf version of the cheat sheet (external link, bp) to take with you. This repo contains gguf format model files for beowulf's codeninja 1.0 openchat 7b. Available in a 7b model size, codeninja is adaptable for local runtime environments. Using lm studio the simplest way to engage with codeninja is via the quantized versions on lm studio.

Ensure You Select The Openchat Preset, Which Incorporates The Necessary.

Gptq models for gpu inference, with multiple quantisation parameter options. If using chatgpt to generate/improve prompts, make sure you read the generated prompt.

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