Codeninja 7B Q4 How To Use Prompt Template
Codeninja 7B Q4 How To Use Prompt Template - 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. If using chatgpt to generate/improve prompts, make sure you read the generated prompt. 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, 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. I understand getting the right prompt format is critical for better answers.
Evaluate beowolx/CodeNinja1.0OpenChat7B · Issue 129 · thecryptkeeper/canaicode · GitHub
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. If using chatgpt to generate/improve prompts, make sure you read the generated prompt. Ensure you select the openchat preset, which incorporates the necessary. Here are all example prompts easily.
Beowolx CodeNinja 1.0 OpenChat 7B a Hugging Face Space by hinata97
Gptq models for gpu inference, with multiple quantisation parameter options. 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. If using chatgpt.
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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. 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.
fe2plus/CodeLlama7bInstructhf_PROMPT_TUNING_CAUSAL_LM at main
Using lm studio the simplest way to engage with codeninja is via the quantized versions on lm studio. 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. I understand getting the right prompt format is critical for better answers. Ensure you select the openchat preset, which.
RTX 4060 Ti 16GB openhermes 2.5 mistral 7b Q4 K M LLM Benchmark using KoboldCPP 1.5 YouTube
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. Here are all example prompts easily to copy, adapt and use for yourself (external link, linkedin) and here is.
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. 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.
TheBloke/CodeNinja1.0OpenChat7BAWQ · Hugging Face
Available in a 7b model size, codeninja is adaptable for local runtime environments. I understand getting the right prompt format is critical for better answers. 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. If using chatgpt to.
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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 the right prompt format is critical for better answers. 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.
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. 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. Ensure you select the openchat preset, which incorporates the necessary. 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. If using chatgpt to generate/improve prompts, make sure you read the generated prompt.
If Using Chatgpt To Generate/Improve Prompts, Make Sure You Read The Generated Prompt.
Using lm studio the simplest way to engage with codeninja is via the quantized versions on lm studio. 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 cheat sheet (external link, bp) to take with you. 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. Ensure you select the openchat preset, which incorporates the necessary.