Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +90 -0
- dolphin-2.9-llama3-8b-Q2_K.gguf +3 -0
- dolphin-2.9-llama3-8b-Q3_K_L.gguf +3 -0
- dolphin-2.9-llama3-8b-Q3_K_M.gguf +3 -0
- dolphin-2.9-llama3-8b-Q3_K_S.gguf +3 -0
- dolphin-2.9-llama3-8b-Q4_0.gguf +3 -0
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- dolphin-2.9-llama3-8b-Q4_K_S.gguf +3 -0
- dolphin-2.9-llama3-8b-Q5_0.gguf +3 -0
- dolphin-2.9-llama3-8b-Q5_K_M.gguf +3 -0
- dolphin-2.9-llama3-8b-Q5_K_S.gguf +3 -0
- dolphin-2.9-llama3-8b-Q6_K.gguf +3 -0
- dolphin-2.9-llama3-8b-Q8_0.gguf +3 -0
.gitattributes
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dolphin-2.9-llama3-8b-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: other
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base_model: cognitivecomputations/dolphin-2.9-llama3-8b
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tags:
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- generated_from_trainer
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- axolotl
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- TensorBlock
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- GGUF
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datasets:
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- cognitivecomputations/Dolphin-2.9
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- teknium/OpenHermes-2.5
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- m-a-p/CodeFeedback-Filtered-Instruction
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- cognitivecomputations/dolphin-coder
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- cognitivecomputations/samantha-data
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- HuggingFaceH4/ultrachat_200k
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- microsoft/orca-math-word-problems-200k
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- abacusai/SystemChat-1.1
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- Locutusque/function-calling-chatml
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- internlm/Agent-FLAN
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model-index:
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- name: out
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results: []
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---
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<div style="display: flex; justify-content: space-between; width: 100%;">
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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<p style="margin-top: 0.5em; margin-bottom: 0em;">
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Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
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</p>
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</div>
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</div>
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## cognitivecomputations/dolphin-2.9-llama3-8b - GGUF
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This repo contains GGUF format model files for [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b).
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The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
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## Prompt template
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```
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<|im_start|>system
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{system_prompt}<|im_end|>
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<|im_start|>user
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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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## Model file specification
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| Filename | Quant type | File Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [dolphin-2.9-llama3-8b-Q2_K.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q2_K.gguf) | Q2_K | 2.961 GB | smallest, significant quality loss - not recommended for most purposes |
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| [dolphin-2.9-llama3-8b-Q3_K_S.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q3_K_S.gguf) | Q3_K_S | 3.413 GB | very small, high quality loss |
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| [dolphin-2.9-llama3-8b-Q3_K_M.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q3_K_M.gguf) | Q3_K_M | 3.743 GB | very small, high quality loss |
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| [dolphin-2.9-llama3-8b-Q3_K_L.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q3_K_L.gguf) | Q3_K_L | 4.025 GB | small, substantial quality loss |
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| [dolphin-2.9-llama3-8b-Q4_0.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q4_0.gguf) | Q4_0 | 4.341 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
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| [dolphin-2.9-llama3-8b-Q4_K_S.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q4_K_S.gguf) | Q4_K_S | 4.370 GB | small, greater quality loss |
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| [dolphin-2.9-llama3-8b-Q4_K_M.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q4_K_M.gguf) | Q4_K_M | 4.583 GB | medium, balanced quality - recommended |
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| [dolphin-2.9-llama3-8b-Q5_0.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q5_0.gguf) | Q5_0 | 5.215 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
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| [dolphin-2.9-llama3-8b-Q5_K_S.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q5_K_S.gguf) | Q5_K_S | 5.215 GB | large, low quality loss - recommended |
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| [dolphin-2.9-llama3-8b-Q5_K_M.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q5_K_M.gguf) | Q5_K_M | 5.339 GB | large, very low quality loss - recommended |
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| [dolphin-2.9-llama3-8b-Q6_K.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q6_K.gguf) | Q6_K | 6.143 GB | very large, extremely low quality loss |
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| [dolphin-2.9-llama3-8b-Q8_0.gguf](https://huggingface.co/tensorblock/dolphin-2.9-llama3-8b-GGUF/tree/main/dolphin-2.9-llama3-8b-Q8_0.gguf) | Q8_0 | 7.954 GB | very large, extremely low quality loss - not recommended |
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|
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## Downloading instruction
|
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|
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### Command line
|
73 |
+
|
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Firstly, install Huggingface Client
|
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|
76 |
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```shell
|
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pip install -U "huggingface_hub[cli]"
|
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```
|
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|
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Then, downoad the individual model file the a local directory
|
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|
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```shell
|
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huggingface-cli download tensorblock/dolphin-2.9-llama3-8b-GGUF --include "dolphin-2.9-llama3-8b-Q2_K.gguf" --local-dir MY_LOCAL_DIR
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+
```
|
85 |
+
|
86 |
+
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
|
87 |
+
|
88 |
+
```shell
|
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huggingface-cli download tensorblock/dolphin-2.9-llama3-8b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
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+
```
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