File size: 10,085 Bytes
d2d21c6 b671672 d2d21c6 e736891 0fd5325 75da0d7 b51815b 0218e3d d2d21c6 c34d1a5 23669a8 e736891 0fd5325 8ea458c 5d83fb2 75da0d7 fe6cbd2 99fb509 4f7dda9 b51815b d3600f2 510c60d 619697c 4f7dda9 d14941e d2d21c6 0218e3d f053f03 bab3ecd d2d21c6 82a065c d2d21c6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 |
---
base_model: mattshumer/Reflection-Llama-3.1-70B
inference: false
library_name: gguf
license: llama3.1
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- quantized
- GGUF
- quantization
- imat
- imatrix
- static
- 16bit
- 8bit
- 6bit
- 5bit
- 4bit
- 3bit
- 2bit
- 1bit
---
# Reflection-Llama-3.1-70B-IMat-GGUF
_Llama.cpp imatrix quantization of mattshumer/Reflection-Llama-3.1-70B_
Original Model: [mattshumer/Reflection-Llama-3.1-70B](https://huggingface.co/mattshumer/Reflection-Llama-3.1-70B)
Original dtype: `FP32` (`float32`)
Quantized by: llama.cpp [b3671](https://github.com/ggerganov/llama.cpp/releases/tag/b3671)
IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)
- [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/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/imatrix.dat)
### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Reflection-Llama-3.1-70B.Q8_0/*](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/tree/main/Reflection-Llama-3.1-70B.Q8_0) | Q8_0 | 74.98GB | ✅ Available | ⚪ Static | ✂ Yes
| [Reflection-Llama-3.1-70B.Q6_K/*](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/tree/main/Reflection-Llama-3.1-70B.Q6_K) | Q6_K | 57.89GB | ✅ Available | ⚪ Static | ✂ Yes
| [Reflection-Llama-3.1-70B.Q4_K.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q4_K.gguf) | Q4_K | 42.52GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.Q3_K.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q3_K.gguf) | Q3_K | 34.27GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.Q2_K.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q2_K.gguf) | Q2_K | 26.38GB | ✅ Available | 🟢 IMatrix | 📦 No
### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Reflection-Llama-3.1-70B.BF16/*](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/tree/main/Reflection-Llama-3.1-70B.BF16) | BF16 | 141.12GB | ✅ Available | ⚪ Static | ✂ Yes
| [Reflection-Llama-3.1-70B.FP16/*](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/tree/main/Reflection-Llama-3.1-70B.FP16) | F16 | 141.12GB | ✅ Available | ⚪ Static | ✂ Yes
| [Reflection-Llama-3.1-70B.Q8_0/*](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/tree/main/Reflection-Llama-3.1-70B.Q8_0) | Q8_0 | 74.98GB | ✅ Available | ⚪ Static | ✂ Yes
| [Reflection-Llama-3.1-70B.Q6_K/*](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/tree/main/Reflection-Llama-3.1-70B.Q6_K) | Q6_K | 57.89GB | ✅ Available | ⚪ Static | ✂ Yes
| [Reflection-Llama-3.1-70B.Q5_K/*](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/tree/main/Reflection-Llama-3.1-70B.Q5_K) | Q5_K | 49.95GB | ✅ Available | ⚪ Static | ✂ Yes
| [Reflection-Llama-3.1-70B.Q5_K_S/*](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/tree/main/Reflection-Llama-3.1-70B.Q5_K_S) | Q5_K_S | 48.66GB | ✅ Available | ⚪ Static | ✂ Yes
| [Reflection-Llama-3.1-70B.Q4_K.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q4_K.gguf) | Q4_K | 42.52GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.Q4_K_S.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q4_K_S.gguf) | Q4_K_S | 40.35GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ4_NL.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ4_NL.gguf) | IQ4_NL | 40.05GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ4_XS.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ4_XS.gguf) | IQ4_XS | 37.90GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.Q3_K.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q3_K.gguf) | Q3_K | 34.27GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.Q3_K_L.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q3_K_L.gguf) | Q3_K_L | 37.14GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.Q3_K_S.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q3_K_S.gguf) | Q3_K_S | 30.91GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ3_M.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ3_M.gguf) | IQ3_M | 31.94GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ3_S.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ3_S.gguf) | IQ3_S | 30.91GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ3_XS.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ3_XS.gguf) | IQ3_XS | 29.31GB | ✅ Available | 🟢 IMatrix | 📦 No
| Reflection-Llama-3.1-70B.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
| [Reflection-Llama-3.1-70B.Q2_K.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q2_K.gguf) | Q2_K | 26.38GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.Q2_K_S.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.Q2_K_S.gguf) | Q2_K_S | 24.47GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ2_M.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ2_M.gguf) | IQ2_M | 24.12GB | ✅ Available | 🟢 IMatrix | 📦 No
| Reflection-Llama-3.1-70B.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | -
| Reflection-Llama-3.1-70B.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | -
| Reflection-Llama-3.1-70B.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | -
| Reflection-Llama-3.1-70B.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | -
| Reflection-Llama-3.1-70B.IQ1_S | IQ1_S | - | ⏳ Processing | 🟢 IMatrix | -
## 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/Reflection-Llama-3.1-70B-IMat-GGUF --include "Reflection-Llama-3.1-70B.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/Reflection-Llama-3.1-70B-IMat-GGUF --include "Reflection-Llama-3.1-70B.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
```
---
## Inference
### Simple chat template
```
<|begin_of_text|><|start_header_id|>user<|end_header_id|>
{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>
{next_user_prompt}<|eot_id|>
```
### Chat template with system prompt
```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are a world-class AI system, capable of complex reasoning and reflection. Reason through the query inside <thinking> tags, and then provide your final response inside <output> tags. If you detect that you made a mistake in your reasoning at any point, correct yourself inside <reflection> tags.<|eot_id|><|start_header_id|>user<|end_header_id|>
{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>
{next_user_prompt}<|eot_id|>
```
### Llama.cpp
```
llama.cpp/main -m Reflection-Llama-3.1-70B.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: `Reflection-Llama-3.1-70B.Q8_0`)
3. Run `gguf-split --merge Reflection-Llama-3.1-70B.Q8_0/Reflection-Llama-3.1-70B.Q8_0-00001-of-XXXXX.gguf Reflection-Llama-3.1-70B.Q8_0.gguf`
- Make sure to point `gguf-split` to the first chunk of the split.
---
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |