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mradermacher/Tini1.5-8B-A1B-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: < quants: x f16 Q4 K S Q2 K Q8 0 Q6 K Q3 K M Q3 K S Q3 K L Q4…

transformersggufgenerated_from_trainersftunslothtrlreasoningagenticfunction-callingendataset:nvidia/Nemotron-SFT-Agentic-v2dataset:nohurry/Opus-4.6-Reasoning-3000x-filtereddataset:Jackrong/DeepSeek-V4-Distill-8000xdataset:Jackrong/Qwen3.5-reasoning-700xbase_model:dungnvt/Tini1.5-8B-A1Bbase_model:quantized:dungnvt/Tini1.5-8B-A1Blicense:mitendpoints_compatibleregion:usconversational

Runs locally from ~2.97 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

12 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Tini1.5-8B-A1B.IQ4_XS.ggufGGUFGGUF4.29 GBDownload
Tini1.5-8B-A1B.Q2_K.ggufGGUFGGUF2.97 GBDownload
Tini1.5-8B-A1B.Q3_K_L.ggufGGUFGGUF4.13 GBDownload
Tini1.5-8B-A1B.Q3_K_M.ggufGGUFGGUF3.83 GBDownload
Tini1.5-8B-A1B.Q3_K_S.ggufGGUFGGUF3.50 GBDownload
Tini1.5-8B-A1B.Q4_K_M.ggufGGUFGGUF4.80 GBDownload
Tini1.5-8B-A1B.Q4_K_S.ggufGGUFGGUF4.53 GBDownload
Tini1.5-8B-A1B.Q5_K_M.ggufGGUFGGUF5.62 GBDownload
Tini1.5-8B-A1B.Q5_K_S.ggufGGUFGGUF5.47 GBDownload
Tini1.5-8B-A1B.Q6_K.ggufGGUFGGUF6.48 GBDownload
Tini1.5-8B-A1B.Q8_0.ggufGGUFGGUF8.39 GBDownload
Tini1.5-8B-A1B.f16.ggufGGUFGGUF15.78 GBDownload

Model Details

Model IDmradermacher/Tini1.5-8B-A1B-GGUF
Authormradermacher
Pipeline
Licensemit
Base modeldungnvt/Tini1.5-8B-A1B
Last modified2026-06-18T02:00:39.000Z

Model README

---

base_model: dungnvt/Tini1.5-8B-A1B

datasets:

  • nvidia/Nemotron-SFT-Agentic-v2
  • nohurry/Opus-4.6-Reasoning-3000x-filtered
  • Jackrong/DeepSeek-V4-Distill-8000x
  • Jackrong/Qwen3.5-reasoning-700x

language:

  • en

library_name: transformers

license: mit

model_name: Tini1.5-8B-A1B

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • generated_from_trainer
  • sft
  • unsloth
  • trl
  • reasoning
  • agentic
  • function-calling

---

About

<!-- ### quantize_version: 2 -->

<!-- ### output_tensor_quantised: 1 -->

<!-- ### convert_type: hf -->

<!-- ### vocab_type: -->

<!-- ### tags: -->

<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->

<!-- ### quants_skip: -->

<!-- ### skip_mmproj: -->

static quants of https://huggingface.co/dungnvt/Tini1.5-8B-A1B

<!-- provided-files -->

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tini1.5-8B-A1B-i1-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 | Q2_K | 3.3 | |

| GGUF | Q3_K_S | 3.9 | |

| GGUF | Q3_K_M | 4.2 | lower quality |

| GGUF | Q3_K_L | 4.5 | |

| GGUF | IQ4_XS | 4.7 | |

| GGUF | Q4_K_S | 5.0 | fast, recommended |

| GGUF | Q4_K_M | 5.3 | fast, recommended |

| GGUF | Q5_K_S | 6.0 | |

| GGUF | Q5_K_M | 6.1 | |

| GGUF | Q6_K | 7.1 | very good quality |

| GGUF | Q8_0 | 9.1 | fast, best quality |

| GGUF | f16 | 17.0 | 16 bpw, overkill |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

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, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time.

<!-- end -->

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