What are the hardware requirements for First Edition?

First Edition requires approximately 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 First Edition and how large is it?

First Edition is developed by krishna195, 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 First Edition?

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

First Edition by krishna195 — VRAM 1GB, 128K context

Name: First Edition
Author: krishna195

First Edition is an open-source language model by krishna195. Features: 1b LLM, VRAM: 1GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

4-bit 4bit Bitsandbytes Conversational En Endpoints compatible Llama Quantized Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/krishna195/first_edition

First Edition Parameters and Internals

LLM Name	First Edition
Repository 🤗	https://huggingface.co/krishna195/first_edition
Base Model(s)	unsloth/llama-3.2-1b-bnb-4bit unsloth/llama-3.2-1b-bnb-4bit
Model Size	1b
Required VRAM	1 GB
Updated	2026-08-06
Maintainer	krishna195
Model Type	llama
Model Files	1.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
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	float16

Rank the First Edition 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 First Edition

Best Alternatives	Context / RAM	Downloads	Likes
...1B Agentic Tooluse Merged FP16	128K / 2.2 GB	2361	6
... Fable5 V2 Thinking OptiQ 4bit	128K / 0.9 GB	1564	5
MiniCPM5 1B OptiQ 4bit	128K / 0.9 GB	4608	9
Llama 3 8B Legal Chatbot Id	128K / 2.5 GB	744	0
MiniCPM5 1B 8bit	128K / 1.1 GB	1983	3
AeroCart Support Bot SFT	128K / 2.5 GB	241	1
...lama 3.2 1B Legal Id Finetuned	128K / 2.5 GB	192	0
Humanizer 1B OptiQ 4bit	128K / 0.9 GB	235	5
HRA Non Instruct Merged	128K / 2.5 GB	78	0
MiniCPM5 1B 4bit	128K / 0.6 GB	315	1

Note: green Score (e.g. "73.2") means that the model is better than krishna195/first_edition.