What are the hardware requirements for GoLLIE 7B?

GoLLIE 7B requires approximately 40.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GoLLIE 7B and how large is it?

GoLLIE 7B is developed by HiTZ, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does GoLLIE 7B perform on standard benchmarks?

GoLLIE 7B has the following published scores: MMLU 29.38. Compare against reference models on this page or on the LLM Explorer leaderboards.

GoLLIE 7B by HiTZ — VRAM 40.5GB, 16K context

Name: GoLLIE 7B
Author: HiTZ

GoLLIE 7B is an open-source language model by HiTZ. Features: 7b LLM, VRAM: 40.5GB, Context: 16K, License: llama2, Code Generating, LLM Explorer Score: 0.15, Arc: 36.1, HellaSwag: 57.9, MMLU: 29.4, GSM8K: 3.3.

Model Card on HF 🤗: https://huggingface.co/HiTZ/GoLLIE-7B

GoLLIE 7B Parameters and Internals

Model Type

Text Generation

Use Cases

Areas:

Information Extraction, Named Entity Recognition, Event Extraction, Relation Extraction

Primary Use Cases:

zero-shot Information Extraction

Additional Notes

Flash attention implementation must be enabled with `trust_remote_code=True` for optimal performance.

Supported Languages

english (proficient)

Training Details

Data Sources:

ACE05, bc5cdr, conll2003, ncbi_disease, conll2012_ontonotesv5, rams, tacred, wnut_17

LLM Name	GoLLIE 7B
Repository 🤗	https://huggingface.co/HiTZ/GoLLIE-7B
Model Size	7b
Required VRAM	40.5 GB
Updated	2026-05-22
Maintainer	HiTZ
Model Type	llama
Model Files	10.0 GB: 1-of-2 9.9 GB: 1-of-3 3.5 GB: 2-of-2 9.9 GB: 2-of-3 7.2 GB: 3-of-3
Supported Languages	en
Generates Code	Yes
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	16384
Model Max Length	16384
Transformers Version	4.33.1
Tokenizer Class	CodeLlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32016
Torch Data Type	bfloat16

Rank the GoLLIE 7B 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 GoLLIE 7B

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 6.7B Instruct	16K / 13.5 GB	535311	507
CodeLlama 7B Hf	16K / 13.5 GB	254150	377
CodeLlama 7B Instruct Hf	16K / 13.5 GB	58587	258
GetCode Slerp	16K / 13.6 GB	87	1
Wizardllama 7B	16K / 13.5 GB	48	0
Codellama 7B Hf ReFT GSM8k	16K / 13.5 GB	459	1
MathCoder2 CodeLlama 7B	16K / 13.5 GB	10	5
Stack Codellama 7B Inst	16K / 13.5 GB	66	0
CodeLlama 7B Python Hf	16K / 13.5 GB	1935	146
CodeV CL 7B	16K / 13.5 GB	430	1

Note: green Score (e.g. "73.2") means that the model is better than HiTZ/GoLLIE-7B.