What are the hardware requirements for GOAT Llama3.1 V0.1?

GOAT Llama3.1 V0.1 requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GOAT Llama3.1 V0.1 and how large is it?

GOAT Llama3.1 V0.1 is developed by kshabana. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate GOAT Llama3.1 V0.1?

GOAT Llama3.1 V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GOAT Llama3.1 V0.1 by kshabana — VRAM 0.2GB

Name: GOAT Llama3.1 V0.1
Author: kshabana

GOAT Llama3.1 V0.1 is an open-source language model by kshabana. Features: LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

Ar Arabic Dataset:arbml/alpaca arabic En Endpoints compatible English Gguf Lora Q4 Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/kshabana/GOAT-llama3.1-v0.1

GOAT Llama3.1 V0.1 Parameters and Internals

Model Type

safetensors, gguf

Use Cases

Primary Use Cases:

Companies needing multilingual support

Limitations:

May produce incorrect answers

Additional Notes

Model trained with unsloth and is expected to be used with LM Studio or Ollama. Model soon available on Ollama.

Supported Languages

ar (Arabic), en (English)

Training Details

Data Sources:

arbml/alpaca_arabic

Context Length:

131072

LLM Name	GOAT Llama3.1 V0.1
Repository 🤗	https://huggingface.co/kshabana/GOAT-llama3.1-v0.1
Required VRAM	0.2 GB
Updated	2026-08-06
Maintainer	kshabana
Model Files	4.9 GB 8.5 GB 0.2 GB
Supported Languages	ar en
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	AutoModel
License	apache-2.0
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|down_proj\|q_proj\|k_proj\|v_proj\|gate_proj\|up_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the GOAT Llama3.1 V0.1 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 GOAT Llama3.1 V0.1

Best Alternatives	Context / RAM	Downloads	Likes
ComicBot V.2 Gguf	32K / 5 GB	54	0
Qwen3 Medical GRPO GGUF	0K / 1.7 GB	440	6
Gemma2 WizardLM	0K / 5.2 GB	22	0
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Marco O1 GGUF	0K / 3 GB	262	6
Phi 2 GGUF	0K / 1.2 GB	21217	233
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Mixtral 8x7B V0.1 GGUF	0K / 15.6 GB	4192	438
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17

Note: green Score (e.g. "73.2") means that the model is better than kshabana/GOAT-llama3.1-v0.1.