What are the hardware requirements for Gemma 2 9B It Blend Rebase?

Gemma 2 9B It Blend Rebase requires approximately 20.4 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 Gemma 2 9B It Blend Rebase and how large is it?

Gemma 2 9B It Blend Rebase is developed by spacematt, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gemma 2 9B It Blend Rebase perform on standard benchmarks?

Gemma 2 9B It Blend Rebase has the following published scores: LMSYS ELO 1266. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 2 9B It Blend Rebase by spacematt — VRAM 20.4GB, 8K context

Name: Gemma 2 9B It Blend Rebase
Author: spacematt

Gemma 2 9B It Blend Rebase is an open-source language model by spacematt. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.29, ELO: 1266.

Merged Model Arxiv:2306.01708 Autotrain compatible Base model:sillytilly/google-g... Base model:spacematt/gemma-2-9... Conversational Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/spacematt/gemma-2-9B-it-blend-rebase

Gemma 2 9B It Blend Rebase Benchmarks

LMSys ELO 1266 vs 1272 (so35) -0.5%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 2 9B It Blend Rebase Parameters and Internals

LLM Name	Gemma 2 9B It Blend Rebase
Repository 🤗	https://huggingface.co/spacematt/gemma-2-9B-it-blend-rebase
Base Model(s)	Gemma 2 9B It Blend Google Gemma 2 9B spacematt/gemma-2-9B-it-blend SillyTilly/google-gemma-2-9b
Merged Model	Yes
Model Size	9b
Required VRAM	20.4 GB
Updated	2025-08-05
Maintainer	spacematt
Model Type	gemma2
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 5.0 GB: 4-of-5 0.5 GB: 5-of-5
Model Architecture	Gemma2ForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.48.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 2 9B It Blend Rebase 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 Gemma 2 9B It Blend Rebase

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	8	1
SystemGemma2 9B It	32K / 18.6 GB	5	2
Gemma 2 9B It	8K / 18.6 GB	80757	11
GWQ 9B Preview2	8K / 18.6 GB	11	10
Gemma 2 9B It	8K / 18.6 GB	6	0
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It	8K / 18.6 GB	323635	837
Gemma 2 9B JEE Socratic Final	8K / 18.6 GB	1118	0
Gemma 2 9B	8K / 37.1 GB	95888	717
Gemma 2 9B It Advanced V2.1	8K / 20.4 GB	100	30

Note: green Score (e.g. "73.2") means that the model is better than spacematt/gemma-2-9B-it-blend-rebase.