What are the hardware requirements for Fbt Gemma 7B?

Fbt Gemma 7B requires approximately 17.1 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 Fbt Gemma 7B and how large is it?

Fbt Gemma 7B is developed by Mr-Bhaskar, 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 Fbt Gemma 7B perform on standard benchmarks?

Fbt Gemma 7B has the following published scores: MMLU 63.81. Compare against reference models on this page or on the LLM Explorer leaderboards.

Fbt Gemma 7B by Mr-Bhaskar — VRAM 17.1GB, 8K context

Name: Fbt Gemma 7B
Author: Mr-Bhaskar

Fbt Gemma 7B is an open-source language model by Mr-Bhaskar. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.14, Arc: 62, HellaSwag: 80.2, MMLU: 63.8, GSM8K: 30.2.

Arxiv:1910.09700 4bit Conversational Endpoints compatible Gemma Pytorch Quantized Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Mr-Bhaskar/fbt-gemma-7b

Fbt Gemma 7B Parameters and Internals

LLM Name	Fbt Gemma 7B
Repository 🤗	https://huggingface.co/Mr-Bhaskar/fbt-gemma-7b
Model Size	7b
Required VRAM	17.1 GB
Updated	2026-08-04
Maintainer	Mr-Bhaskar
Model Type	gemma
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 2.1 GB: 4-of-4
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Fbt Gemma 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 Fbt Gemma 7B

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...t Cleaner Gemma 32k Merged 16b	31K / 17.1 GB	7	0
...ruct Malayalam Model Vllm 4bit	16K / 5.6 GB	5	0
Gemma 1.1 7B It 4bit	8K / 5.9 GB	68	4
Gemma 1.1 7B It 4bit	8K / 5.9 GB	5	1
Gemma 7B 8bit	8K / 9.4 GB	3	1
... Codegemma 2 7B It Alpaca V1.2	8K / 17.1 GB	35	0
Codegemma 7B It 8bit	8K / 9.5 GB	203	6
Codegemma 7B It 4bit	8K / 5.9 GB	89	2
Codegemma 7B 4bit	8K / 5.9 GB	48	0
Swahili Gemma	8K / 17.1 GB	37	1

Note: green Score (e.g. "73.2") means that the model is better than Mr-Bhaskar/fbt-gemma-7b.