What are the hardware requirements for Llama3 8B Spaetzle V20?

Llama3 8B Spaetzle V20 requires approximately 16 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3 8B Spaetzle V20 and how large is it?

Llama3 8B Spaetzle V20 is developed by cstr, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama3 8B Spaetzle V20 perform on standard benchmarks?

Llama3 8B Spaetzle V20 has the following published scores: MMLU 68.52. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama3 8B Spaetzle V20 by cstr — VRAM 16GB, 8K context

Name: Llama3 8B Spaetzle V20
Author: cstr

Llama3 8B Spaetzle V20 is an open-source language model by cstr. Features: 8b LLM, VRAM: 16GB, Context: 8K, License: other, Merged, LLM Explorer Score: 0.13, Arc: 70.4, HellaSwag: 85.7, MMLU: 68.5, GSM8K: 67.

Merged Model Base model:finetune:nbeerbower... Base model:nbeerbower/llama-3-... Conversational De En Endpoints compatible Llama Nbeerbower/llama-3-wissenschaf... Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cstr/llama3-8b-spaetzle-v20

Llama3 8B Spaetzle V20 Parameters and Internals

Model Type

merge, mergekit, lazymergekit

Supported Languages

English (native), German (native)

Input Output

Input Format:

JSON format for prompts with roles and content

Accepted Modalities:

text

Output Format:

Generated text based on input prompts

Performance Tips:

For optimal performance, use appropriate hardware and configure parameters like temperature and top_k according to task requirements.

LLM Name	Llama3 8B Spaetzle V20
Repository 🤗	https://huggingface.co/cstr/llama3-8b-spaetzle-v20
Base Model(s)	Llama 3 Wissenschaft 8B V2 nbeerbower/llama-3-wissenschaft-8B-v2
Merged Model	Yes
Model Size	8b
Required VRAM	16 GB
Updated	2026-07-28
Maintainer	cstr
Model Type	llama
Model Files	1.1 GB: 1-of-9 1.9 GB: 2-of-9 2.0 GB: 3-of-9 1.9 GB: 4-of-9 2.0 GB: 5-of-9 1.9 GB: 6-of-9 2.0 GB: 7-of-9 1.9 GB: 8-of-9 1.3 GB: 9-of-9
Supported Languages	en de
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 8B Spaetzle V20 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Llama3 8B Spaetzle V20

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than cstr/llama3-8b-spaetzle-v20.