What are the hardware requirements for Nil Llama 3 8B Instruct V0.1.1?

Nil Llama 3 8B Instruct V0.1.1 requires approximately 16.1 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 Nil Llama 3 8B Instruct V0.1.1 and how large is it?

Nil Llama 3 8B Instruct V0.1.1 is developed by Zardos, 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 Nil Llama 3 8B Instruct V0.1.1 perform on standard benchmarks?

Nil Llama 3 8B Instruct V0.1.1 has the following published scores: MMLU 66.35. Compare against reference models on this page or on the LLM Explorer leaderboards.

Nil Llama 3 8B Instruct V0.1.1 by Zardos — VRAM 16.1GB, 8K context

Name: Nil Llama 3 8B Instruct V0.1.1
Author: Zardos

Nil Llama 3 8B Instruct V0.1.1 is an open-source language model by Zardos. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14, Arc: 60.7, HellaSwag: 78, MMLU: 66.4, GSM8K: 67.3.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-... Conversational En Endpoints compatible Instruct Llama Llama3 Quantized Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/Zardos/nil_Llama-3-8B-Instruct_v0.1.1

Nil Llama 3 8B Instruct V0.1.1 Parameters and Internals

Model Type

text-generation-inference, transformers, llama3, llama, trl

LLM Name	Nil Llama 3 8B Instruct V0.1.1
Repository 🤗	https://huggingface.co/Zardos/nil_Llama-3-8B-Instruct_v0.1.1
Base Model(s)	Llama 3 8B Instruct unsloth/llama-3-8b-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-19
Maintainer	Zardos
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Nil Llama 3 8B Instruct V0.1.1 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 Nil Llama 3 8B Instruct V0.1.1

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than Zardos/nil_Llama-3-8B-Instruct_v0.1.1.