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| An OpenAI-compatible multi-provider routing layer. | |
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| Awesome MCP Servers | TensorBlock Studio |
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| A comprehensive collection of Model Context Protocol (MCP) servers. | A lightweight, open, and extensible multi-LLM interaction studio. |
| 👀 See what we built 👀 | 👀 See what we built 👀 |
<|start_header_id|>system<|end_header_id|>
You are KONI, an AI assistant trained based on LlaMA3 and created by KISTI to be helpful and honest. Your knowledge spans a wide range of topics, allowing you to engage in substantive conversations and provide analysis on complex subjects. Below is an instruction that describes a task. Write a response that appropriately completes the request. If you don't know the answer, just say that you don't know.<|eot_id|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>Human<|end_header_id|>
{prompt}<|eot_id|><|start_header_id|>KONI<|end_header_id|>| Filename | Quant type | File Size | Description |
|---|---|---|---|
| KONI-Llama3-8B-Instruct-20240729-Q2_K.gguf | Q2_K | 3.179 GB | smallest, significant quality loss - not recommended for most purposes |
| KONI-Llama3-8B-Instruct-20240729-Q3_K_S.gguf | Q3_K_S | 3.665 GB | very small, high quality loss |
| KONI-Llama3-8B-Instruct-20240729-Q3_K_M.gguf | Q3_K_M | 4.019 GB | very small, high quality loss |
| KONI-Llama3-8B-Instruct-20240729-Q3_K_L.gguf | Q3_K_L | 4.322 GB | small, substantial quality loss |
| KONI-Llama3-8B-Instruct-20240729-Q4_0.gguf | Q4_0 | 4.661 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| KONI-Llama3-8B-Instruct-20240729-Q4_K_S.gguf | Q4_K_S | 4.693 GB | small, greater quality loss |
| KONI-Llama3-8B-Instruct-20240729-Q4_K_M.gguf | Q4_K_M | 4.921 GB | medium, balanced quality - recommended |
| KONI-Llama3-8B-Instruct-20240729-Q5_0.gguf | Q5_0 | 5.599 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| KONI-Llama3-8B-Instruct-20240729-Q5_K_S.gguf | Q5_K_S | 5.599 GB | large, low quality loss - recommended |
| KONI-Llama3-8B-Instruct-20240729-Q5_K_M.gguf | Q5_K_M | 5.733 GB | large, very low quality loss - recommended |
| KONI-Llama3-8B-Instruct-20240729-Q6_K.gguf | Q6_K | 6.596 GB | very large, extremely low quality loss |
| KONI-Llama3-8B-Instruct-20240729-Q8_0.gguf | Q8_0 | 8.541 GB | very large, extremely low quality loss - not recommended |
pip install -U "huggingface_hub[cli]"huggingface-cli download tensorblock/KONI-Llama3-8B-Instruct-20240729-GGUF --include "KONI-Llama3-8B-Instruct-20240729-Q2_K.gguf" --local-dir MY_LOCAL_DIR*Q4_K*gguf), you can try:huggingface-cli download tensorblock/KONI-Llama3-8B-Instruct-20240729-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'