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Spaetzle-v60-7b-Q4_0-GGUF
cstr/Spaetzle-v60-7b-Q4_0-GGUF
Spaetzle-v60-7b-Q4_0-GGUF is a machine learning model from cstr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
This is progressive (mostly dare-ties, but also slerp) merge with the intention of suitable compromise for English and German local tasks.
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.gguf4.1 GB · 100%
At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- May 11, 2024
- Updated
- Aug 2, 2026
- SHA
- 2d2393b6
Base models
Model card
From the Hugging Face model README
Spaetzle-v60-7b
This is progressive (mostly dare-ties, but also slerp) merge with the intention of suitable compromise for English and German local tasks.
Spaetzle-v60-7b is a merge of the following models
Benchmarks
The performance looks ok so far: e.g. we get (for the GGUF q4) in EQ-Bench: Score (v2_de): 65.08 (Parseable: 171.0).
From Low-bit Quantized Open LLM Leaderboard
| Type | Model | Average ⬆️ | ARC-c | ARC-e | Boolq | HellaSwag | Lambada | MMLU | Openbookqa | Piqa | Truthfulqa | Winogrande | #Params (B) | #Size (G) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 🍒 | Intel/SOLAR-10.7B-Instruct-v1.0-int4-inc | 68.49 | 60.49 | 82.66 | 88.29 | 68.29 | 73.36 | 62.43 | 35.6 | 80.74 | 56.06 | 76.95 | 10.57 | 5.98 |
| 🍒 | cstr/Spaetzle-v60-7b-int4-inc | 68.01 | 62.12 | 85.27 | 87.34 | 66.43 | 70.58 | 61.39 | 37 | 82.26 | 50.18 | 77.51 | 7.04 | 4.16 |
| 🔷 | TheBloke/SOLAR-10.7B-Instruct-v1.0-GGUF | 66.6 | 60.41 | 83.38 | 88.29 | 67.73 | 52.42 | 62.04 | 37.2 | 82.32 | 56.3 | 75.93 | 10.73 | 6.07 |
| 🔷 | cstr/Spaetzle-v60-7b-Q4_0-GGUF | 66.44 | 61.35 | 85.19 | 87.98 | 66.54 | 52.78 | 62.05 | 40.6 | 81.72 | 47 | 79.16 | 7.24 | 4.11 |
| 🍒 | Intel/Mistral-7B-Instruct-v0.2-int4-inc | 65.73 | 55.38 | 81.44 | 85.26 | 65.67 | 70.89 | 58.66 | 34.2 | 80.74 | 51.16 | 73.95 | 7.04 | 4.16 |
| 🍒 | Intel/Phi-3-mini-4k-instruct-int4-inc | 65.09 | 57.08 | 83.33 | 86.18 | 59.45 | 68.14 | 66.62 | 38.6 | 79.33 | 38.68 | 73.48 | 3.66 | 2.28 |
| 🔷 | TheBloke/Mistral-7B-Instruct-v0.2-GGUF | 63.52 | 53.5 | 77.9 | 85.44 | 66.9 | 50.11 | 58.45 | 38.8 | 77.58 | 53.12 | 73.4 | 7.24 | 4.11 |
| 🍒 | Intel/Meta-Llama-3-8B-Instruct-int4-inc | 62.93 | 51.88 | 81.1 | 83.21 | 57.09 | 71.32 | 62.41 | 35.2 | 78.62 | 36.35 | 72.14 | 7.2 | 5.4 |
Provenance and EU AI Act Art. 53 note
- Base model: cstr/Spaetzle-v60-7b — a mergekit merge published by the same maintainer as this repository. It is not a third-party upstream: the maintainer authored that model.
- What was done here: format conversion and/or quantisation of that base model only (GGUF, INT4 precision). No further training, fine-tuning or merging was applied at this step.
- Licence:
cc-by-nc-4.0, inherited through the base model from the models it was built from. - Training data: none was used, added or selected at this conversion step. The base model's card lists the models it was built from; their training content is documented — where it is documented at all — by their respective providers.
- Provider status: under Regulation (EU) 2024/1689 this repository makes no provider claim for the conversion step. Any provider obligations attaching to the model itself — including Art. 53(1)(c) copyright policy and Art. 53(1)(d) training-content summary — attach at cstr/Spaetzle-v60-7b, not here.
- License
- cc-by-nc-4.0
- Languages
- de, en
- Created
- May 11, 2024
- Updated
- Aug 2, 2026