TreeVGR 7B CI GGUF
For a convenient overview and download list, visit our model page for this model.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 814 MB–14,2 GB
- Modelo base
- HaochenWang/TreeVGR-7B-CI
- Versão
- vRevision 72c1d60
- Atualizado
- 23 de out. de 2026
- Downloads
- 261
- Fonte
- Hugging Face
Descrição da fonte
About
static quants of https://huggingface.co/HaochenWang/TreeVGR-7B-CI
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/TreeVGR-7B-CI-i1-GGUF
Usage
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs 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 | mmproj-Q8_0 | 1.0 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.5 | multi-modal supplement |
| GGUF | Q2_K | 3.1 | |
| GGUF | Q3_K_S | 3.6 | |
| GGUF | Q3_K_M | 3.9 | lower quality |
| GGUF | Q3_K_L | 4.2 | |
| GGUF | IQ4_XS | 4.4 | |
| GGUF | Q4_K_S | 4.6 | fast, recommended |
| GGUF | Q4_K_M | 4.8 | fast, recommended |
| GGUF | Q5_K_S | 5.4 | |
| GGUF | Q5_K_M | 5.5 | |
| GGUF | Q6_K | 6.4 | very good quality |
| GGUF | Q8_0 | 8.2 | fast, best quality |
| GGUF | f16 | 15.3 | 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.
Fontes
1 fonte
Fontes
1 fonteVerificado 23 de out.
Download files
Artefatos de modelo
14 artefatos
Artefatos de modelo
14 artefatosTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- base_model: HaochenWang/TreeVGR-7B-CI datasets: - HaochenWang/TreeBench - HaochenWang/TreeVGR-RL-37K - HaochenWang/TreeVGR-SFT-35K language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - visual-question-answering - visual-grounding - visual-reasoning - qwen --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/HaochenWang/TreeVGR-7B-CI <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#TreeVGR-7B-CI-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/TreeVGR-7B-CI-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](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B-CI.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B-CI.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B-CI.Q2_K.gguf) | Q2_K | 3.1 | | | [GGUF](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B-CI.Q3_K_S.gguf) | Q3_K_S | 3.6 | | | [GGUF](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B-CI.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality | | [GGUF](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B-CI.Q3_K_L.gguf) | Q3_K_L | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B-CI.IQ4_XS.gguf) | IQ4_XS | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B-CI.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/TreeVGR-7B-CI-GGUF/resolve/main/TreeVGR-7B...
Source context: 261 downloads · 1 likes · Pipeline visual-question-answering · Library transformers · Repo mradermacher/TreeVGR-7B-CI-GGUF
Source context: 103 downloads · 1 likes · Pipeline visual-question-answering · Library transformers · Repo mradermacher/TreeVGR-7B-CI-GGUF
