What are the hardware requirements for LAMED?

LAMED requires approximately 2.5 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 LAMED and how large is it?

LAMED is developed by Novaciano, 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 LAMED?

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

LAMED by Novaciano — VRAM 2.5GB, 128K context

Name: LAMED
Rating: 4 (3 reviews)
Author: Novaciano

LAMED is an open-source language model by Novaciano. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Autotrain compatible Base model:nexesenex/dolphin3.... Base model:nexesenex/pankajmat... Conversational Endpoints compatible Instruct Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Novaciano/LAMED

LAMED Parameters and Internals

LLM Name	LAMED
Repository 🤗	https://huggingface.co/Novaciano/LAMED
Base Model(s)	... 6 1B Instruct Abliterated LPL Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated Nexesenex/pankajmathur_orca_mini_v9_6_1B-instruct-Abliterated-LPL Nexesenex/Dolphin3.0-Llama3.1-1B-abliterated
Merged Model	Yes
Model Size	1b
Required VRAM	2.5 GB
Updated	2025-09-20
Maintainer	Novaciano
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the LAMED 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 LAMED

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
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	237	2

Note: green Score (e.g. "73.2") means that the model is better than Novaciano/LAMED.