mradermacher/Tini1.5-8B-A1B-i1-GGUF overview

---

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

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

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

static quants are available at https://huggingface.co/mradermacher/Tini1.5-8B-A1B-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 | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-IQ1_S | 1.9 | for the desperate |

| GGUF | i1-IQ1_M | 2.1 | mostly desperate |

| GGUF | i1-IQ2_XXS | 2.4 | |

| GGUF | i1-IQ2_XS | 2.7 | |

| GGUF | i1-IQ2_S | 2.7 | |

| GGUF | i1-IQ2_M | 2.9 | |

| GGUF | i1-Q2_K_S | 3.1 | very low quality |

| GGUF | i1-Q2_K | 3.3 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 3.4 | lower quality |

| GGUF | i1-IQ3_XS | 3.7 | |

| GGUF | i1-IQ3_S | 3.9 | beats Q3_K* |

| GGUF | i1-Q3_K_S | 3.9 | IQ3_XS probably better |

| GGUF | i1-IQ3_M | 3.9 | |

| GGUF | i1-Q3_K_M | 4.2 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 4.5 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 4.7 | |

| GGUF | i1-IQ4_NL | 4.9 | prefer IQ4_XS |

| GGUF | i1-Q4_0 | 5.0 | fast, low quality |

| GGUF | i1-Q4_K_S | 5.0 | optimal size/speed/quality |

| GGUF | i1-Q4_K_M | 5.3 | fast, recommended |

| GGUF | i1-Q4_1 | 5.5 | |

| GGUF | i1-Q5_K_S | 6.0 | |

| GGUF | i1-Q5_K_M | 6.1 | |

| GGUF | i1-Q6_K | 7.1 | practically like static Q6_K |

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. Additional thanks to @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.

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