---
title: FinGPT-MT-Llama-3-8B-LoRA-GGUF
canonical_url: "https://www.modelscope.ai/models/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF"
md_url: "https://www.modelscope.ai/models/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF.md"
repository: second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF
last_updated: 2026-11-04
license: other
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - llama
base_model:
  - meta-llama/Meta-Llama-3-8B
base_model_relation: quantized
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 289
stars: 0
tags:
  - gguf
---

# FinGPT-MT-Llama-3-8B-LoRA-GGUF

> FinGPT-MT-Llama-3-8B-LoRA-GGUF - An open-source model by second-state on ModelScope. FinGPT-MT-Llama-3-8B-LoRA-GGUF

second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF is a text-generation model on ModelScope. licensed under other. derived from meta-llama/Meta-Llama-3-8B.

- **Repository**: second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF
- **License**: other
- **Tasks**: text-generation
- **Base model**: meta-llama/Meta-Llama-3-8B
- **Tags**: gguf
- **Downloads**: 289
- **Stars**: 0
- **Last updated**: 2026-11-04

Source: https://www.modelscope.ai/models/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF

---

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# FinGPT-MT-Llama-3-8B-LoRA-GGUF

## Original Model

[meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)

## LoRA Adapter

[FinGPT/fingpt-mt_llama3-8b_lora](https://huggingface.co/FinGPT/fingpt-mt_llama3-8b_lora)

## Run with LlamaEdge

- LlamaEdge version: coming soon

<!-- - LlamaEdge version: [v0.8.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.8.3) and above

- Prompt template

  - Prompt type: `llama-3-chat`

  - Prompt string

    ```text
    <|begin_of_text|><|start_header_id|>system<|end_header_id|>

    {{ system_prompt }}<|eot_id|><|start_header_id|>user<|end_header_id|>

    {{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

    {{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>

    {{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
    ``` -->

- Context size: `8192`

<!-- - Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:FinGPT-MT-Llama-3-8B-LoRA-Q5_K_M.gguf \
    llama-api-server.wasm \
    --prompt-template llama-3-chat \
    --ctx-size 8192 \
    --model-name Llama-3-8b
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:FinGPT-MT-Llama-3-8B-LoRA-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template llama-3-chat \
    --ctx-size 8192 \
  ``` -->

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [FinGPT-MT-Llama-3-8B-LoRA-Q2_K.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q2_K.gguf)     | Q2_K   | 2 | 3.18 GB| smallest, significant quality loss - not recommended for most purposes |
| [FinGPT-MT-Llama-3-8B-LoRA-Q3_K_L.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q3_K_L.gguf) | Q3_K_L | 3 | 4.32 GB| small, substantial quality loss |
| [FinGPT-MT-Llama-3-8B-LoRA-Q3_K_M.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q3_K_M.gguf) | Q3_K_M | 3 | 4.02 GB| very small, high quality loss |
| [FinGPT-MT-Llama-3-8B-LoRA-Q3_K_S.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q3_K_S.gguf) | Q3_K_S | 3 | 3.66 GB| very small, high quality loss |
| [FinGPT-MT-Llama-3-8B-LoRA-Q4_0.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q4_0.gguf)     | Q4_0   | 4 | 4.66 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [FinGPT-MT-Llama-3-8B-LoRA-Q4_K_M.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q4_K_M.gguf) | Q4_K_M | 4 | 4.92 GB| medium, balanced quality - recommended |
| [FinGPT-MT-Llama-3-8B-LoRA-Q4_K_S.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q4_K_S.gguf) | Q4_K_S | 4 | 4.69 GB| small, greater quality loss |
| [FinGPT-MT-Llama-3-8B-LoRA-Q5_0.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q5_0.gguf)     | Q5_0   | 5 | 5.6 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [FinGPT-MT-Llama-3-8B-LoRA-Q5_K_M.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q5_K_M.gguf) | Q5_K_M | 5 | 5.73 GB| large, very low quality loss - recommended |
| [FinGPT-MT-Llama-3-8B-LoRA-Q5_K_S.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q5_K_S.gguf) | Q5_K_S | 5 | 5.6 GB| large, low quality loss - recommended |
| [FinGPT-MT-Llama-3-8B-LoRA-Q6_K.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q6_K.gguf)     | Q6_K   | 6 | 6.6 GB| very large, extremely low quality loss |
| [FinGPT-MT-Llama-3-8B-LoRA-Q8_0.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-Q8_0.gguf)     | Q8_0   | 8 | 8.54 GB| very large, extremely low quality loss - not recommended |
| [FinGPT-MT-Llama-3-8B-LoRA-f16.gguf](https://huggingface.co/second-state/FinGPT-MT-Llama-3-8B-LoRA-GGUF/blob/main/FinGPT-MT-Llama-3-8B-LoRA-f16.gguf)     | f16   | 16 | 16.1 GB|  |

*Quantized with llama.cpp b3807.*