What are the hardware requirements for HyLo Llama 6MLA22GDN 8K SFT?

HyLo Llama 6MLA22GDN 8K SFT requires approximately 17.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed HyLo Llama 6MLA22GDN 8K SFT and how large is it?

HyLo Llama 6MLA22GDN 8K SFT is developed by amd, a model with 3b parameters. 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 HyLo Llama 6MLA22GDN 8K SFT?

HyLo Llama 6MLA22GDN 8K SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HyLo Llama 6MLA22GDN 8K SFT by amd — VRAM 17.1GB, 128K context

Name: HyLo Llama 6MLA22GDN 8K SFT
Author: amd

HyLo Llama 6MLA22GDN 8K SFT is an open-source language model by amd. Features: 3b LLM, VRAM: 17.1GB, Context: 128K, License: apache-2.0, Instruction-Based.

Arxiv:2503.11132 Arxiv:2505.17272 Arxiv:2604.24715 Amd Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:junxiongwang/sftdatase... Dataset:nvidia/chatqa2-long-sf... Dataset:nvidia/openmathinstruc... Dataset:open-r1/openr1-math-22... Dataset:open-thoughts/openthou... Distillation En Ext 8k Gated-deltanet Hybrid Instruct Kv-cache-compression Llama Long-context Mla Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/amd/HyLo-Llama-6MLA22GDN-8K-SFT

HyLo Llama 6MLA22GDN 8K SFT Parameters and Internals

LLM Name	HyLo Llama 6MLA22GDN 8K SFT
Repository 🤗	https://huggingface.co/amd/HyLo-Llama-6MLA22GDN-8K-SFT
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	17.1 GB
Updated	2026-09-14
Maintainer	amd
Model Type	llama
Instruction-Based	Yes
Model Files	17.1 GB
Supported Languages	en
Context Length	8k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the HyLo Llama 6MLA22GDN 8K SFT 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 HyLo Llama 6MLA22GDN 8K SFT

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
...ama 3.2 3B TechWriter Instruct	128K / 6.4 GB	226	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0
Alloma 3B Instruct	128K / 6.5 GB	55456	6
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
Schematron 3B	128K / 6.5 GB	969	336

Note: green Score (e.g. "73.2") means that the model is better than amd/HyLo-Llama-6MLA22GDN-8K-SFT.