What are the hardware requirements for HyLo Llama 8MLA8GDN 64K SFT?

HyLo Llama 8MLA8GDN 64K SFT requires approximately 6.5 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 8MLA8GDN 64K SFT and how large is it?

HyLo Llama 8MLA8GDN 64K SFT is developed by amd, a model with 1b 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 8MLA8GDN 64K SFT?

HyLo Llama 8MLA8GDN 64K SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HyLo Llama 8MLA8GDN 64K SFT by amd — VRAM 6.5GB, 128K context

Name: HyLo Llama 8MLA8GDN 64K SFT
Author: amd

HyLo Llama 8MLA8GDN 64K SFT is an open-source language model by amd. Features: 1b LLM, VRAM: 6.5GB, 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 Gated-deltanet Hybrid Instruct Kv-cache-compression Llama Long-context Mla Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/amd/HyLo-Llama-8MLA8GDN-64K-SFT

HyLo Llama 8MLA8GDN 64K SFT Parameters and Internals

LLM Name	HyLo Llama 8MLA8GDN 64K SFT
Repository 🤗	https://huggingface.co/amd/HyLo-Llama-8MLA8GDN-64K-SFT
Base Model(s)	meta-llama/Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	6.5 GB
Updated	2026-09-14
Maintainer	amd
Model Type	llama
Instruction-Based	Yes
Model Files	6.5 GB
Supported Languages	en
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 8MLA8GDN 64K 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 8MLA8GDN 64K SFT

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama3.2 1B CoT	128K / 2.5 GB	632	1
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
Type O1 Mini Instruct	128K / 2.5 GB	232	0

Note: green Score (e.g. "73.2") means that the model is better than amd/HyLo-Llama-8MLA8GDN-64K-SFT.