Transformers
GGUF
English
dag-reasoning
valiant
valiant-labs
qwen
qwen-3
qwen-3-4b
qwen3-4b-thinking-2507
4b
thinking
reasoning
directed-acyclic-graph
graph
logic
analysis
programming
knowledge
root-cause-analysis
economics
business
business-management
finance
law
supply-chain
logistics
software-engineering
cybersecurity
architecture
energy
politics
problem-solving
creative
analytical
expert
rationality
conversational
chat
instruct
imatrix
File size: 7,573 Bytes
372df47 07500cf 372df47 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 |
---
base_model: sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning
datasets:
- sequelbox/DAG-Reasoning-DeepSeek-R1-0528
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- dag-reasoning
- valiant
- valiant-labs
- qwen
- qwen-3
- qwen-3-4b
- qwen3-4b-thinking-2507
- 4b
- thinking
- reasoning
- directed-acyclic-graph
- graph
- logic
- analysis
- programming
- knowledge
- root-cause-analysis
- economics
- business
- business-management
- finance
- law
- supply-chain
- logistics
- software-engineering
- cybersecurity
- architecture
- energy
- politics
- problem-solving
- creative
- analytical
- expert
- rationality
- conversational
- chat
- instruct
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
<!-- ### quants_skip: -->
<!-- ### skip_mmproj: -->
weighted/imatrix quants of https://huggingface.co/sequelbox/Qwen3-4B-Thinking-2507-DAG-Reasoning
<!-- provided-files -->
***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF).***
static quants are available at https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ1_S.gguf) | i1-IQ1_S | 1.2 | for the desperate |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ1_M.gguf) | i1-IQ1_M | 1.2 | mostly desperate |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 1.3 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ2_XS.gguf) | i1-IQ2_XS | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ2_S.gguf) | i1-IQ2_S | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ2_M.gguf) | i1-IQ2_M | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q2_K_S.gguf) | i1-Q2_K_S | 1.7 | very low quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q2_K.gguf) | i1-Q2_K | 1.8 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.8 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q3_K_S.gguf) | i1-Q3_K_S | 2.0 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ3_S.gguf) | i1-IQ3_S | 2.0 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ3_M.gguf) | i1-IQ3_M | 2.1 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q3_K_M.gguf) | i1-Q3_K_M | 2.2 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q3_K_L.gguf) | i1-Q3_K_L | 2.3 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ4_XS.gguf) | i1-IQ4_XS | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q4_0.gguf) | i1-Q4_0 | 2.5 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-IQ4_NL.gguf) | i1-IQ4_NL | 2.5 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q4_K_S.gguf) | i1-Q4_K_S | 2.5 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q4_K_M.gguf) | i1-Q4_K_M | 2.6 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q4_1.gguf) | i1-Q4_1 | 2.7 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q5_K_S.gguf) | i1-Q5_K_S | 2.9 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q5_K_M.gguf) | i1-Q5_K_M | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/Qwen3-4B-Thinking-2507-DAG-Reasoning-i1-GGUF/resolve/main/Qwen3-4B-Thinking-2507-DAG-Reasoning.i1-Q6_K.gguf) | i1-Q6_K | 3.4 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
<!-- end -->
|