jkim96/Llama-3.1-8B-Instruct-DASHQ-GGUF overview
DASH Q https://raw.githubusercontent.com/JaeminK/dashq/main/assets/dashq banner.png Llama 3.1 8B Instruct DASH Q 2 bit GGUF A llama.cpp GGUF of meta llama/Llam…
Runs locally from ~3.05 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Llama-3.1-8B-Instruct-DASHQ-Q2_K_XL.gguf | GGUF | Q2_K_XL | 3.05 GB | Download |
Model Details
| Model ID | jkim96/Llama-3.1-8B-Instruct-DASHQ-GGUF |
|---|---|
| Author | jkim96 |
| Pipeline | text-generation |
| License | llama3.1 |
| Base model | meta-llama/Llama-3.1-8B-Instruct |
| Last modified | 2026-10-02T05:29:34.000Z |
Model README
---
license: llama3.1
base_model: meta-llama/Llama-3.1-8B-Instruct
base_model_relation: quantized
library_name: gguf
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
- dashq
- quantized
---
Llama-3.1-8B-Instruct - DASH-Q 2-bit GGUF
A llama.cpp GGUF of meta-llama/Llama-3.1-8B-Instruct quantized with
DASH-Q. It is a standard Q2_K-class mixed-precision file
(Q2_K / Q3_K / Q4_K tensors, about 3 bits per weight) and loads in any recent llama.cpp build.
| File | Size |
| --- | --- |
| Llama-3.1-8B-Instruct-DASHQ-Q2_K_XL.gguf | 3.28 GB |
Perplexity (lower is better)
| Model | Size | WikiText-2 | C4 |
| --- | --- | --- | --- |
| F16 | 16.1 GB | 6.40 | 10.90 |
| llama.cpp Q2_K (imatrix) | 3.18 GB | 8.52 | 14.68 |
| unsloth UD-Q2_K_XL | 3.39 GB | 7.89 | 13.55 |
| DASH-Q (this file) | 3.28 GB | 7.51 | 13.20 |
llama-perplexity, context 2048; WikiText-2 test, C4 validation (256 x 2048 tokens).
Zero-shot accuracy (lm-eval-harness, 0-shot)
| arc_easy | arc_challenge | piqa | hellaswag | winogrande | openbookqa | commonsense_qa | truthfulqa_mc2 | lambada_openai | avg |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 77.3 | 50.2 | 79.6 | 75.6 | 72.5 | 43.4 | 72.8 | 49.4 | 72.5 | 65.92 |
Usage
llama-cli -m Llama-3.1-8B-Instruct-DASHQ-Q2_K_XL.gguf -ngl 99 -c 8192
License
Inherits the license of the base model (meta-llama/Llama-3.1-8B-Instruct).
Run jkim96/Llama-3.1-8B-Instruct-DASHQ-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models