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Reflection-Llama-3.1-70B-IMat-GGUF

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Reflection-Llama-3.1-70B-IMat-GGUF
File size: 11,096 Bytes
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---
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
---

>[!WARNING]  
>Potentailly broken weights, see https://x.com/mattshumer_/status/1832424499054309804?s=46  
>Once resolved, this message will go away


# 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)
    - [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.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ3_XXS.gguf) | IQ3_XXS | 27.47GB | ✅ 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
| [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.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ2_S.gguf) | IQ2_S | 22.24GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ2_XS.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ2_XS.gguf) | IQ2_XS | 21.14GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ2_XXS.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ2_XXS.gguf) | IQ2_XXS | 19.10GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ1_M.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.IQ1_M.gguf) | IQ1_M | 16.75GB | ✅ Available | 🟢 IMatrix | 📦 No
| [Reflection-Llama-3.1-70B.IQ1_S.gguf](https://huggingface.co/legraphista/Reflection-Llama-3.1-70B-IMat-GGUF/blob/main/Reflection-Llama-3.1-70B.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/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

> [!IMPORTANT]  
> Make sure to set the system prompt:  
> `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.`

### 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.

---

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