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mradermacher/falcon-coder-3b-GGUF overview

About < quantize version: 2 < output tensor quantised: 1 < convert type: hf < vocab type: < tags: < quants: TQ1 0 TQ2 0 < quants skip: < skip mmproj: static qu…

transformersggufbitnet1.58-bitcodetext-generationfalconternaryendataset:m-a-p/CodeFeedback-Filtered-Instructiondataset:ise-uiuc/Magicoder-OSS-Instruct-75Kdataset:ise-uiuc/Magicoder-Evol-Instruct-110Kbase_model:anthonylee991/falcon-coder-3bbase_model:quantized:anthonylee991/falcon-coder-3blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~677.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation

Repository Files & Downloads

2 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
falcon-coder-3b.TQ1_0.ggufGGUFGGUF677.3 MBDownload
falcon-coder-3b.TQ2_0.ggufGGUFGGUF807.8 MBDownload

Model Details

Model IDmradermacher/falcon-coder-3b-GGUF
Authormradermacher
Pipelinetext-generation
Licenseapache-2.0
Base modelanthonylee991/falcon-coder-3b
Last modified2026-07-04T06:39:49.000Z

Model README

---

base_model: anthonylee991/falcon-coder-3b

datasets:

  • m-a-p/CodeFeedback-Filtered-Instruction
  • ise-uiuc/Magicoder-OSS-Instruct-75K
  • ise-uiuc/Magicoder-Evol-Instruct-110K

language:

  • en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

  • bitnet
  • 1.58-bit
  • code
  • text-generation
  • falcon
  • ternary

---

About

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

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

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

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

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

<!-- ### quants: TQ1_0 TQ2_0 -->

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

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

static quants of https://huggingface.co/anthonylee991/falcon-coder-3b

<!-- provided-files -->

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 | TQ1_0 | 0.8 | tighteR TERNANY packing |

| GGUF | TQ2_0 | 0.9 | faster ternany packing |

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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