What are the hardware requirements for LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702?

LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 requires approximately 13.5 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 and how large is it?

LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 is developed by adamo1139, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 perform on standard benchmarks?

LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 has the following published scores: MMLU 43.12. Compare against reference models on this page or on the LLM Explorer leaderboards.

LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 by adamo1139 — VRAM 13.5GB, 1024K context

Name: LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702
Author: adamo1139

LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 is an open-source language model by adamo1139. Features: 7b LLM, VRAM: 13.5GB, Context: 1024K, License: llama2, LLM Explorer Score: 0.14, Arc: 51.2, HellaSwag: 77.1, MMLU: 43.1, GSM8K: 8.9.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/adamo1139/LWM-7B-1M-1000000ctx-AEZAKMI-3_1-1702

LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 Parameters and Internals

Model Type

text generation

Additional Notes

Model is finetuned on AEZAKMI v3.1 dataset. Exl2 quants and base model will be available soon in safetensors format. Most long context capabilities expected to remain.

Training Details

Data Sources:

AEZAKMI v3.1 dataset

Methodology:

Finetuning using QLoRA with lora_r 32 and cosine learning rate decaying from 0.00015, finetuned with unsloth, FA2

Context Length:

4000

Training Time:

6 hours

Hardware Used:

Local RTX 3090 Ti

LLM Name	LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702
Repository 🤗	https://huggingface.co/adamo1139/LWM-7B-1M-1000000ctx-AEZAKMI-3_1-1702
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-02
Maintainer	adamo1139
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the LWM 7B 1M 1000000ctx AEZAKMI 3 1 1702 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

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124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
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2 Very Sci Fi	1024K / 16.1 GB	317

Note: green Score (e.g. "73.2") means that the model is better than adamo1139/LWM-7B-1M-1000000ctx-AEZAKMI-3_1-1702.