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dolphin-2.9.1-llama-3-70b-IMat-GGUF

Text Generation
GGUF
quantized
GGUF
imatrix
quantization
imat
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dolphin-2.9.1-llama-3-70b-IMat-GGUF
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---
base_model: cognitivecomputations/dolphin-2.9.1-llama-3-70b
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
inference: false
library_name: gguf
license: llama3
model-index:
- name: out
  results: []
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- quantized
- GGUF
- imatrix
- quantization
- imat
- imatrix
- static
---

# dolphin-2.9.1-llama-3-70b-IMat-GGUF
_Llama.cpp imatrix quantization of cognitivecomputations/dolphin-2.9.1-llama-3-70b_

Original Model: [cognitivecomputations/dolphin-2.9.1-llama-3-70b](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-70b)  
Original dtype: `BF16` (`bfloat16`)  
Quantized by: llama.cpp [b3003](https://github.com/ggerganov/llama.cpp/releases/tag/b3003)  
IMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw)  

- [dolphin-2.9.1-llama-3-70b-IMat-GGUF](#dolphin-2-9-1-llama-3-70b-imat-gguf)
    - [Files](#files)
        - [IMatrix](#imatrix)
        - [Common Quants](#common-quants)
        - [All Quants](#all-quants)
    - [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
    - [Inference](#inference)
        - [Simple chat template](#simple-chat-template)
        - [Chat template with system prompt](#chat-template-with-system-prompt)
        - [Llama.cpp](#llama-cpp)
    - [FAQ](#faq)
        - [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
        - [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)

---

## Files

### IMatrix
Status: ✅ Available  
Link: [here](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/imatrix.dat) 

### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [dolphin-2.9.1-llama-3-70b.Q8_0/*](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/tree/main/dolphin-2.9.1-llama-3-70b.Q8_0) | Q8_0 | 74.98GB | ✅ Available | ⚪ Static | ✂ Yes
| [dolphin-2.9.1-llama-3-70b.Q6_K/*](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/tree/main/dolphin-2.9.1-llama-3-70b.Q6_K) | Q6_K | 57.89GB | ✅ Available | ⚪ Static | ✂ Yes
| [dolphin-2.9.1-llama-3-70b.Q4_K.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.Q4_K.gguf) | Q4_K | 42.52GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.Q3_K.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.Q3_K.gguf) | Q3_K | 34.27GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.Q2_K.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.Q2_K.gguf) | Q2_K | 26.38GB | ✅ Available | 🟢 IMatrix | 📦 No


### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [dolphin-2.9.1-llama-3-70b.FP16/*](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/tree/main/dolphin-2.9.1-llama-3-70b.FP16) | F16 | 141.12GB | ✅ Available | ⚪ Static | ✂ Yes
| [dolphin-2.9.1-llama-3-70b.BF16/*](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/tree/main/dolphin-2.9.1-llama-3-70b.BF16) | BF16 | 141.12GB | ✅ Available | ⚪ Static | ✂ Yes
| [dolphin-2.9.1-llama-3-70b.Q5_K/*](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/tree/main/dolphin-2.9.1-llama-3-70b.Q5_K) | Q5_K | 49.95GB | ✅ Available | ⚪ Static | ✂ Yes
| [dolphin-2.9.1-llama-3-70b.Q5_K_S/*](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/tree/main/dolphin-2.9.1-llama-3-70b.Q5_K_S) | Q5_K_S | 48.66GB | ✅ Available | ⚪ Static | ✂ Yes
| [dolphin-2.9.1-llama-3-70b.Q4_K_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.Q4_K_S.gguf) | Q4_K_S | 40.35GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.Q3_K_L.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.Q3_K_L.gguf) | Q3_K_L | 37.14GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.Q3_K_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.Q3_K_S.gguf) | Q3_K_S | 30.91GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.Q2_K_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.Q2_K_S.gguf) | Q2_K_S | 24.47GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ4_NL.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ4_NL.gguf) | IQ4_NL | 40.05GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ4_XS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ4_XS.gguf) | IQ4_XS | 37.90GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ3_M.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ3_M.gguf) | IQ3_M | 31.94GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ3_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ3_S.gguf) | IQ3_S | 30.91GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ3_XS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ3_XS.gguf) | IQ3_XS | 29.31GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ3_XXS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ3_XXS.gguf) | IQ3_XXS | 27.47GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ2_M.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ2_M.gguf) | IQ2_M | 24.12GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ2_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ2_S.gguf) | IQ2_S | 22.24GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ2_XS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ2_XS.gguf) | IQ2_XS | 21.14GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ2_XXS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ2_XXS.gguf) | IQ2_XXS | 19.10GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ1_M.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ1_M.gguf) | IQ1_M | 16.75GB | ✅ Available | 🟢 IMatrix | 📦 No
| [dolphin-2.9.1-llama-3-70b.IQ1_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-70b.IQ1_S.gguf) | IQ1_S | 15.34GB | ✅ Available | 🟢 IMatrix | 📦 No


## Downloading using huggingface-cli
If you do not have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Download the specific file you want:
```
huggingface-cli download legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF --include "dolphin-2.9.1-llama-3-70b.Q8_0.gguf" --local-dir ./
```
If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download legraphista/dolphin-2.9.1-llama-3-70b-IMat-GGUF --include "dolphin-2.9.1-llama-3-70b.Q8_0/*" --local-dir dolphin-2.9.1-llama-3-70b.Q8_0
# see FAQ for merging GGUF's
```

---

## Inference

### Simple chat template
```
<|im_start|>user
Can you provide ways to eat combinations of bananas and dragonfruits?<|im_end|>
<|im_start|>assistant
Sure! Here are some ways to eat bananas and dragonfruits together:
 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|im_end|>
<|im_start|>user
What about solving an 2x + 3 = 7 equation?<|im_end|>

```

### Chat template with system prompt
```
<|im_start|>system
You are a helpful AI.<|im_end|>
<|im_start|>user
Can you provide ways to eat combinations of bananas and dragonfruits?<|im_end|>
<|im_start|>assistant
Sure! Here are some ways to eat bananas and dragonfruits together:
 1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
 2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|im_end|>
<|im_start|>user
What about solving an 2x + 3 = 7 equation?<|im_end|>

```

### Llama.cpp
```
llama.cpp/main -m dolphin-2.9.1-llama-3-70b.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"
```

---

## FAQ

### Why is the IMatrix not applied everywhere?
According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results). 

### How do I merge a split GGUF?
1. Make sure you have `gguf-split` available
    - To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
    - Download the appropriate zip for your system from the latest release
    - Unzip the archive and you should be able to find `gguf-split`
2. Locate your GGUF chunks folder (ex: `dolphin-2.9.1-llama-3-70b.Q8_0`)
3. Run `gguf-split --merge dolphin-2.9.1-llama-3-70b.Q8_0/dolphin-2.9.1-llama-3-70b.Q8_0-00001-of-XXXXX.gguf dolphin-2.9.1-llama-3-70b.Q8_0.gguf`
    - Make sure to point `gguf-split` to the first chunk of the split.

---

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