---
license: apache-2.0
tags:
- text-generation-inference
- finance
- economics
- TensorBlock
- GGUF
datasets:
- Josephgflowers/Finance-Instruct-500k
language:
- en
base_model: tarun7r/Finance-Llama-8B
pipeline_tag: text-generation
library_name: transformers
---

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## tarun7r/Finance-Llama-8B - GGUF

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        Join our Discord to learn more about what we're building ↗
    </a>
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This repo contains GGUF format model files for [tarun7r/Finance-Llama-8B](https://huggingface.co/tarun7r/Finance-Llama-8B).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277).

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## Prompt template

```
Unable to determine prompt format automatically. Please check the original model repository for the correct prompt format.
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Finance-Llama-8B-Q2_K.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q2_K.gguf) | Q2_K | 0.008 GB | smallest, significant quality loss - not recommended for most purposes |
| [Finance-Llama-8B-Q3_K_S.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q3_K_S.gguf) | Q3_K_S | 0.008 GB | very small, high quality loss |
| [Finance-Llama-8B-Q3_K_M.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q3_K_M.gguf) | Q3_K_M | 0.008 GB | very small, high quality loss |
| [Finance-Llama-8B-Q3_K_L.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q3_K_L.gguf) | Q3_K_L | 0.008 GB | small, substantial quality loss |
| [Finance-Llama-8B-Q4_0.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q4_0.gguf) | Q4_0 | 0.008 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Finance-Llama-8B-Q4_K_S.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q4_K_S.gguf) | Q4_K_S | 0.008 GB | small, greater quality loss |
| [Finance-Llama-8B-Q4_K_M.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q4_K_M.gguf) | Q4_K_M | 0.008 GB | medium, balanced quality - recommended |
| [Finance-Llama-8B-Q5_0.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q5_0.gguf) | Q5_0 | 0.008 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Finance-Llama-8B-Q5_K_S.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q5_K_S.gguf) | Q5_K_S | 0.008 GB | large, low quality loss - recommended |
| [Finance-Llama-8B-Q5_K_M.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q5_K_M.gguf) | Q5_K_M | 0.008 GB | large, very low quality loss - recommended |
| [Finance-Llama-8B-Q6_K.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q6_K.gguf) | Q6_K | 0.008 GB | very large, extremely low quality loss |
| [Finance-Llama-8B-Q8_0.gguf](https://huggingface.co/tensorblock/tarun7r_Finance-Llama-8B-GGUF/blob/main/Finance-Llama-8B-Q8_0.gguf) | Q8_0 | 0.008 GB | very large, extremely low quality loss - not recommended |


## Downloading instruction

### Command line

Firstly, install Huggingface Client

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
huggingface-cli download tensorblock/tarun7r_Finance-Llama-8B-GGUF --include "Finance-Llama-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:

```shell
huggingface-cli download tensorblock/tarun7r_Finance-Llama-8B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```