What are the hardware requirements for AppleSauce L2 13B?

AppleSauce L2 13B requires approximately 26.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AppleSauce L2 13B and how large is it?

AppleSauce L2 13B is developed by sauce1337, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does AppleSauce L2 13B perform on standard benchmarks?

AppleSauce L2 13B has the following published scores: MMLU 57.07. Compare against reference models on this page or on the LLM Explorer leaderboards.

AppleSauce L2 13B by sauce1337 — VRAM 26.7GB, 4K context

Name: AppleSauce L2 13B
Author: sauce1337

AppleSauce L2 13B is an open-source language model by sauce1337. Features: 13b LLM, VRAM: 26.7GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.11, Arc: 61, HellaSwag: 83.6, MMLU: 57.1, GSM8K: 10.

Endpoints compatible Gguf Llama Q5 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sauce1337/AppleSauce-L2-13b

AppleSauce L2 13B Benchmarks

LLME Score: 0.11248

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

AppleSauce L2 13B (sauce1337/AppleSauce-L2-13b)

AppleSauce L2 13B Parameters and Internals

LLM Name	AppleSauce L2 13B
Repository 🤗	https://huggingface.co/sauce1337/AppleSauce-L2-13b
Model Size	13b
Required VRAM	26.7 GB
Updated	2026-06-29
Maintainer	sauce1337
Model Type	llama
Model Files	9.2 GB 10.3 GB: 1-of-3 9.9 GB: 2-of-3 6.5 GB: 3-of-3
GGUF Quantization	Yes
Quantization Type	q5\|gguf\|q5_k
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.32.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Quantized Models of the AppleSauce L2 13B

Model	Likes	Downloads	VRAM
AppleSauce L2 13B GGUF	1	75	5 GB
AppleSauce L2 13B AWQ	1	7	7 GB
AppleSauce L2 13B GPTQ	1	5	7 GB

Best Alternatives to AppleSauce L2 13B

Best Alternatives	Context / RAM	Downloads	Likes
Llm Compiler 13B Ftd GGUF	16K / 4.8 GB	146	0
Llm Compiler 13B GGUF	16K / 4.8 GB	116	0
Llm Compiler 13B Ftd GGUF	16K / 4.8 GB	60	0
Llm Compiler 13B GGUF	16K / 4.8 GB	13	0
CodeLlama 13B Instruct GGUF	16K / 5.4 GB	507	2
Luminia 13B V3	4K / 26 GB	104	6
Mythomax L2 13B Q4 K M GGUF	4K / 8.1 GB	2254	12
DiarizationLM 13B Fisher V1	4K / 26 GB	346	13
HyperLlama2Test	4K / 26 GB	16	0
...V2 13B L2 BetaTest Q4 K M GGUF	4K / 7.9 GB	33	0

Note: green Score (e.g. "73.2") means that the model is better than sauce1337/AppleSauce-L2-13b.

Rank the AppleSauce L2 13B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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AppleSauce L2 13B by sauce1337