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. If using chatgpt to generate/improve prompts, make sure you read the generated prompt. I understand getting the right prompt format is critical for better answers. Gptq models for gpu inference, with multiple quantisation parameter options. Using lm studio the simplest way to engage with codeninja is via the quantized versions on lm studio. 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. Ensure you select the openchat preset, which incorporates the necessary.
Evaluate beowolx/CodeNinja1.0OpenChat7B · Issue 129 · thecryptkeeper/canaicode · GitHub
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. 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..
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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. Available in a 7b model size, codeninja is adaptable for local runtime environments. Ensure you select the openchat preset, which incorporates the necessary. I understand getting.
Beowolx CodeNinja 1.0 OpenChat 7B a Hugging Face Space by hinata97
This repo contains gguf format model files for beowulf's codeninja 1.0 openchat 7b. I understand getting the right prompt format is critical for better answers. Available in a 7b model size, codeninja is adaptable for local runtime environments. Gptq models for gpu inference, with multiple quantisation parameter options. If using chatgpt to generate/improve prompts, make sure you read the generated.
TheBloke/CodeNinja1.0OpenChat7BGPTQ · Hugging Face
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. Gptq models for gpu inference, with multiple quantisation parameter options. Using lm studio the simplest way to engage with codeninja is via the quantized versions on.
Prompt Templating Documentation
If using chatgpt to generate/improve prompts, make sure you read the generated prompt. I understand getting the right prompt format is critical for better answers. Gptq models for gpu inference, with multiple quantisation parameter options. 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.
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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. If using chatgpt to generate/improve prompts, make sure you read the generated prompt..
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Available in a 7b model size, codeninja is adaptable for local runtime environments. 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. I understand getting the right prompt format is critical for better answers. Here are all example.
fe2plus/CodeLlama7bInstructhf_PROMPT_TUNING_CAUSAL_LM at main
Gptq models for gpu inference, with multiple quantisation parameter options. Using lm studio the simplest way to engage with codeninja is via the quantized versions on lm studio. I understand getting the right prompt format is critical for better answers. Available in a 7b model size, codeninja is adaptable for local runtime environments. This repo contains gguf format model files.
TheBloke/CodeNinja1.0OpenChat7BAWQ · Hugging Face
Ensure you select the openchat preset, which incorporates the necessary. If using chatgpt to generate/improve prompts, make sure you read the generated prompt. 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. Using lm studio.
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I understand getting the right prompt format is critical for better answers. Available in a 7b model size, codeninja is adaptable for local runtime environments. Gptq models for gpu inference, with multiple quantisation parameter options. Ensure you select the openchat preset, which incorporates the necessary. Here are all example prompts easily to copy, adapt and use for yourself (external link,.
Gptq models for gpu inference, with multiple quantisation parameter options. This repo contains gguf format model files for beowulf's codeninja 1.0 openchat 7b. If using chatgpt to generate/improve prompts, make sure you read the generated prompt. 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. 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. Available in a 7b model size, codeninja is adaptable for local runtime environments.
Ensure You Select The Openchat Preset, Which Incorporates The Necessary.
If using chatgpt to generate/improve prompts, make sure you read the generated prompt. I understand getting the right prompt format is critical for better answers. Available in a 7b model size, codeninja is adaptable for local runtime environments. 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.
Using lm studio the simplest way to engage with codeninja is via the quantized versions on lm studio. 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.