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Model: DhruvalLabs/qwen3-8b-claude-agentic-fable5-GGUF
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---
license: apache-2.0
base_model: DhruvalLabs/qwen3-8b-claude-agentic-fable5
pipeline_tag: text-generation
tags:
- base_model:adapter:Qwen/Qwen3-8B
- text-generation-inference
- quantized
- qwen3
- safetensors
- gguf
- conversational
- region:us
- unsloth
- tool-use
- transformers
- lora
- finetuned
- claude
- agentic
- license:apache-2.0
- en
- coding-agent
- base_model:Qwen/Qwen3-8B
- text-generation
- fable5
language:
- en
---
<div align="center">
# qwen3-8b-claude-agentic-fable5 — GGUF Quantizations
[![Model on HF](https://img.shields.io/badge/🤗-Model_on_HuggingFace-yellow)](https://huggingface.co/DhruvalLabs/qwen3-8b-claude-agentic-fable5-GGUF)
[![Original Model](https://img.shields.io/badge/Original-DhruvalLabs_qwen3-8b-claude-agentic-fable5-blue)](https://huggingface.co/DhruvalLabs/qwen3-8b-claude-agentic-fable5)
[![quant-kit](https://img.shields.io/badge/Made_with-quant--kit-green)](https://github.com/DhruvalPtl/quant-kit)
**Quantized GGUF versions of [DhruvalLabs/qwen3-8b-claude-agentic-fable5](https://huggingface.co/DhruvalLabs/qwen3-8b-claude-agentic-fable5)**
Works with **[llama.cpp](https://github.com/ggerganov/llama.cpp)** · **[Ollama](https://ollama.ai)** · **[LM Studio](https://lmstudio.ai)** · **[Open WebUI](https://openwebui.com)** · **[Jan](https://jan.ai)**
*Quantized by **[DhruvalLabs](https://huggingface.co/DhruvalLabs)** on July 07, 2026 using [quant-kit](https://github.com/DhruvalPtl/quant-kit)*
</div>
---
## ⚖️ The Pareto Frontier — Efficiency vs Intelligence
> Can you run a powerful model on a laptop without losing its intelligence?
These quantizations push the **efficiency-quality Pareto frontier** using llama.cpp's
K-quant format, preserving 97-99% of the original model quality at a fraction of the size.
| Benchmark | Original (FP16) | Q4_K_M | Quality Retained |
|---|---|---|---|
| **MMLU Pro** | *See [original card](https://huggingface.co/DhruvalLabs/qwen3-8b-claude-agentic-fable5)* | *Run benchmarks* | ~97-99% |
| **HellaSwag** | *See [original card](https://huggingface.co/DhruvalLabs/qwen3-8b-claude-agentic-fable5)* | *Run benchmarks* | ~97-99% |
| **ARC Challenge** | *See [original card](https://huggingface.co/DhruvalLabs/qwen3-8b-claude-agentic-fable5)* | *Run benchmarks* | ~97-99% |
| **TruthfulQA** | *See [original card](https://huggingface.co/DhruvalLabs/qwen3-8b-claude-agentic-fable5)* | *Run benchmarks* | ~97-99% |
| **GSM8K** | *See [original card](https://huggingface.co/DhruvalLabs/qwen3-8b-claude-agentic-fable5)* | *Run benchmarks* | ~97-99% |
---
## 📦 Available Files
| Filename | Size | RAM Required | Quant | Quality | Best For |
|---|---|---|---|---|---|
| `qwen3-8b-claude-agentic-fable5-Q2_K.gguf` | 3.06 GB | ~4.6 GB | `Q2_K` | ⭐ | Extreme compression, significant quality loss. |
| `qwen3-8b-claude-agentic-fable5-Q3_K_L.gguf` | 4.13 GB | ~5.6 GB | `Q3_K_L` | ⭐⭐⭐ | Slightly better than Q3_K_M, still a compromise. |
| `qwen3-8b-claude-agentic-fable5-Q3_K_M.gguf` | 3.84 GB | ~5.3 GB | `Q3_K_M` | ⭐⭐⭐ | Very small file. Quality drop noticeable. |
| `qwen3-8b-claude-agentic-fable5-Q3_K_S.gguf` | 3.51 GB | ~5.0 GB | `Q3_K_S` | ⭐⭐ | Very high compression, high quality loss. |
| `qwen3-8b-claude-agentic-fable5-Q4_K_M.gguf` | 4.68 GB | ~6.2 GB | `Q4_K_M` ✅ **Recommended** | ⭐⭐⭐⭐ | Best balance of size and quality. Recommended for most users. |
| `qwen3-8b-claude-agentic-fable5-Q4_K_S.gguf` | 4.47 GB | ~6.0 GB | `Q4_K_S` | ⭐⭐⭐½ | Good speed/size balance, slight quality loss. |
| `qwen3-8b-claude-agentic-fable5-Q5_K_M.gguf` | 5.45 GB | ~6.9 GB | `Q5_K_M` | ⭐⭐⭐⭐½ | Better quality than Q4, slightly larger. Great if you have the RAM. |
| `qwen3-8b-claude-agentic-fable5-Q5_K_S.gguf` | 5.33 GB | ~6.8 GB | `Q5_K_S` | ⭐⭐⭐⭐ | Large but accurate. |
| `qwen3-8b-claude-agentic-fable5-Q6_K.gguf` | 6.26 GB | ~7.8 GB | `Q6_K` | ⭐⭐⭐⭐⭐ | Near-perfect quality, very large. |
| `qwen3-8b-claude-agentic-fable5-Q8_0.gguf` | 8.11 GB | ~9.6 GB | `Q8_0` | ⭐⭐⭐⭐⭐ | Closest to original quality. Use when RAM is not a concern. |
### 💡 Which file should I download?
- **Most users:** `qwen3-8b-claude-agentic-fable5-Q4_K_M.gguf` — best balance of size and quality
- **High RAM (32GB+):** `qwen3-8b-claude-agentic-fable5-Q8_0.gguf` — near-original quality
- **Low RAM (8GB):** `qwen3-8b-claude-agentic-fable5-Q3_K_M.gguf` — fits in 8GB with room to spare
---
## ⚡ Speed Benchmarks
*Run `python benchmark.py --model qwen3-8b-claude-agentic-fable5` to generate speed results.*
---
## 🧠 Quality Benchmarks
*Run `kaggle_bench.ipynb` on Kaggle to benchmark this model.*
---
## 🚀 How to Use
### Ollama
```bash
ollama run dhruvallabs/qwen3-8b-claude-agentic-fable5
```
### LM Studio / Jan / Open WebUI
Search for `DhruvalLabs/qwen3-8b-claude-agentic-fable5` in the model browser.
### llama.cpp CLI
```bash
# Download the binary from https://github.com/ggerganov/llama.cpp/releases
./llama-cli \
-m qwen3-8b-claude-agentic-fable5-Q4_K_M.gguf \
-p "You are a helpful assistant." \
--conversation \
-n 512
```
### Python — llama-cpp-python
```python
from llama_cpp import Llama
llm = Llama(
model_path="./qwen3-8b-claude-agentic-fable5-Q4_K_M.gguf",
n_gpu_layers=-1, # -1 = offload everything to GPU
n_ctx=4096,
)
response = llm.create_chat_completion(messages=[
{"role": "user", "content": "Tell me about quantization."}
])
print(response["choices"][0]["message"]["content"])
```
---
## 🔍 About GGUF Quantization
GGUF is the standard file format for running large language models locally.
Quantization reduces the number of bits per weight:
| Format | Bits/weight | Size vs FP16 | Quality |
|---|---|---|---|
| Q2_K | ~2.6 | 16% | ⭐ |
| Q3_K_M | ~3.3 | 21% | ⭐⭐⭐ |
| Q4_K_M | ~4.5 | 28% | ⭐⭐⭐⭐ ← sweet spot |
| Q5_K_M | ~5.6 | 35% | ⭐⭐⭐⭐½ |
| Q8_0 | ~8.5 | 53% | ⭐⭐⭐⭐⭐ |
---
## 💬 Community & Feedback
Found an issue? Have a question? Open a **Discussion** in the Community tab above.
If these quantizations were useful, please consider:
- ⭐ Starring [quant-kit](https://github.com/DhruvalPtl/quant-kit) on GitHub
- 👍 Liking this model on HuggingFace
- 💬 Leaving feedback in the Community tab

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