What are the hardware requirements for Survey Xml Base Knowledge 0.0.1 Merged 16bit?

Survey Xml Base Knowledge 0.0.1 Merged 16bit 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 Survey Xml Base Knowledge 0.0.1 Merged 16bit and how large is it?

Survey Xml Base Knowledge 0.0.1 Merged 16bit is developed by ansilmbabl, 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 Survey Xml Base Knowledge 0.0.1 Merged 16bit?

Survey Xml Base Knowledge 0.0.1 Merged 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Survey Xml Base Knowledge 0.0.1 Merged 16bit by ansilmbabl — VRAM 6.5GB, 128K context

Name: Survey Xml Base Knowledge 0.0.1 Merged 16bit
Author: ansilmbabl

Survey Xml Base Knowledge 0.0.1 Merged 16bit is an open-source language model by ansilmbabl. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.16.

Merged Model 4bit Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit

Survey Xml Base Knowledge 0.0.1 Merged 16bit Parameters and Internals

LLM Name	Survey Xml Base Knowledge 0.0.1 Merged 16bit
Repository 🤗	https://huggingface.co/ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit
Base Model(s)	unsloth/llama-3.2-3b-instruct-bnb-4bit unsloth/llama-3.2-3b-instruct-bnb-4bit
Merged Model	Yes
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-07-30
Maintainer	ansilmbabl
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Survey Xml Base Knowledge 0.0.1 Merged 16bit 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

Quantized Models of the Survey Xml Base Knowledge 0.0.1 Merged 16bit

Model	Likes	Downloads	VRAM
...uvery Train 0.0.2 Merged 16bit	0	6	6 GB

Best Alternatives to Survey Xml Base Knowledge 0.0.1 Merged 16bit

Best Alternatives	Context / RAM	Downloads
...Llama 3.2 3B Legal Chatbot Sft	128K / 6.5 GB	817
Legal Llama3.2 3B Sft Id	128K / 6.5 GB	680
...gabl Legal Chatbot Llama3.2 3B	128K / 6.5 GB	528
Llama 3.2 3B Legal Id Sft	128K / 6.5 GB	236
Llama3 Legal Id Ft	128K / 6.5 GB	52
Llama 3.2 3B Legal Id Instruct	128K / 6.5 GB	109
Legal Chatbot Llama3.2 3B Id	128K / 6.5 GB	69
Legal Chatbot Llama3.2 3B Id	128K / 6.5 GB	68
Llama3.2 3B Legal Asisten Sft	128K / 6.5 GB	73
...3.2 3B Alpaca Indonesian Legal	128K / 6.5 GB	64

Note: green Score (e.g. "73.2") means that the model is better than ansilmbabl/survey-xml-base-knowledge-0.0.1-merged_16bit.