metadata
license: other
base_model: cognitivecomputations/dolphin-2.9.1-llama-3-8b
tags:
- generated_from_trainer
- axolotl
- TensorBlock
- GGUF
datasets:
- cognitivecomputations/Dolphin-2.9
- teknium/OpenHermes-2.5
- m-a-p/CodeFeedback-Filtered-Instruction
- cognitivecomputations/dolphin-coder
- cognitivecomputations/samantha-data
- microsoft/orca-math-word-problems-200k
- Locutusque/function-calling-chatml
- internlm/Agent-FLAN
model-index:
- name: out
results: []
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
cognitivecomputations/dolphin-2.9.1-llama-3-8b - GGUF
This repo contains GGUF format model files for cognitivecomputations/dolphin-2.9.1-llama-3-8b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| dolphin-2.9.1-llama-3-8b-Q2_K.gguf | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
| dolphin-2.9.1-llama-3-8b-Q3_K_S.gguf | Q3_K_S | 3.413 GB | very small, high quality loss |
| dolphin-2.9.1-llama-3-8b-Q3_K_M.gguf | Q3_K_M | 3.743 GB | very small, high quality loss |
| dolphin-2.9.1-llama-3-8b-Q3_K_L.gguf | Q3_K_L | 4.025 GB | small, substantial quality loss |
| dolphin-2.9.1-llama-3-8b-Q4_0.gguf | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| dolphin-2.9.1-llama-3-8b-Q4_K_S.gguf | Q4_K_S | 4.370 GB | small, greater quality loss |
| dolphin-2.9.1-llama-3-8b-Q4_K_M.gguf | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
| dolphin-2.9.1-llama-3-8b-Q5_0.gguf | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| dolphin-2.9.1-llama-3-8b-Q5_K_S.gguf | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
| dolphin-2.9.1-llama-3-8b-Q5_K_M.gguf | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
| dolphin-2.9.1-llama-3-8b-Q6_K.gguf | Q6_K | 6.143 GB | very large, extremely low quality loss |
| dolphin-2.9.1-llama-3-8b-Q8_0.gguf | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/dolphin-2.9.1-llama-3-8b-GGUF --include "dolphin-2.9.1-llama-3-8b-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:
huggingface-cli download tensorblock/dolphin-2.9.1-llama-3-8b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'