What are the hardware requirements for TinyLlama QuantumQuill Chat 08 05 24 2?

TinyLlama QuantumQuill Chat 08 05 24 2 requires approximately 2.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TinyLlama QuantumQuill Chat 08 05 24 2 and how large is it?

TinyLlama QuantumQuill Chat 08 05 24 2 is developed by Stefan171. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does TinyLlama QuantumQuill Chat 08 05 24 2 perform on standard benchmarks?

TinyLlama QuantumQuill Chat 08 05 24 2 has the following published scores: MMLU 25.37. Compare against reference models on this page or on the LLM Explorer leaderboards.

TinyLlama QuantumQuill Chat 08 05 24 2 by Stefan171 — VRAM 2.2GB, 2K context

Name: TinyLlama QuantumQuill Chat 08 05 24 2
Author: Stefan171

TinyLlama QuantumQuill Chat 08 05 24 2 is an open-source language model by Stefan171. Features: LLM, VRAM: 2.2GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.16, Arc: 33.2, HellaSwag: 58.1, MMLU: 25.4, GSM8K: 2.2.

4bit Autotrain compatible Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-c... Conversational En Endpoints compatible Llama Pytorch Quantized Region:us Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Stefan171/TinyLlama-QuantumQuill-chat-08-05-24-2

TinyLlama QuantumQuill Chat 08 05 24 2 Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, llama, trl, sft

Additional Notes

The model is finetuned from model: unsloth/tinyllama-chat-bnb-4bit

Training Details

Methodology:

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	TinyLlama QuantumQuill Chat 08 05 24 2
Repository 🤗	https://huggingface.co/Stefan171/TinyLlama-QuantumQuill-chat-08-05-24-2
Base Model(s)	Tinyllama Chat Bnb 4bit unsloth/tinyllama-chat-bnb-4bit
Required VRAM	2.2 GB
Updated	2025-09-23
Maintainer	Stefan171
Model Type	llama
Model Files	2.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the TinyLlama QuantumQuill Chat 08 05 24 2 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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... Text Chat 128K 6.0bpw H6 EXL2	128K / 5.2 GB	3	1
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Note: green Score (e.g. "73.2") means that the model is better than Stefan171/TinyLlama-QuantumQuill-chat-08-05-24-2.