What are the hardware requirements for Llama SciQ 8bits?

Llama SciQ 8bits requires approximately 9.3 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama SciQ 8bits and how large is it?

Llama SciQ 8bits is developed by thewordsmiths, a model with 2.9b 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 Llama SciQ 8bits?

Llama SciQ 8bits is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama SciQ 8bits by thewordsmiths — VRAM 9.3GB, 8K context

Name: Llama SciQ 8bits
Author: thewordsmiths

Llama SciQ 8bits is an open-source language model by thewordsmiths. Features: 2.9b LLM, VRAM: 9.3GB, Context: 8K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 8-bit Autotrain compatible Endpoints compatible Gptq Llama Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/thewordsmiths/Llama_SciQ_8bits

Llama SciQ 8bits Parameters and Internals

LLM Name	Llama SciQ 8bits
Repository 🤗	https://huggingface.co/thewordsmiths/Llama_SciQ_8bits
Model Size	2.9b
Required VRAM	9.3 GB
Updated	2025-09-23
Maintainer	thewordsmiths
Model Type	llama
Model Files	5.0 GB: 1-of-2 4.3 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama SciQ 8bits capabilities

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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 Llama SciQ 8bits

Best Alternatives	Context / RAM	Downloads	Likes
LLMic V2	8K / 11.7 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than thewordsmiths/Llama_SciQ_8bits.