Fbt Gemma 7B is an open-source language model by Mr-Bhaskar. Features: 7b LLM, VRAM: 17.1GB, Context: 8K, License: other, Quantized, HF Score: 60.8, LLM Explorer Score: 0.15, Arc: 62, HellaSwag: 80.2, MMLU: 63.8, TruthfulQA: 49.9, WinoGrande: 78.4, GSM8K: 30.2.
Arxiv:1910.09700 4bit Autotrain compatible 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 Benchmarks
ARC: 62.03 vs 96.7 (so35)-35.9%
HellaSwag: 80.23 vs 95.3 (gpt4)-15.8%
MMLU: 63.81 vs 88.3 (so35)-27.7%
TruthfulQA: 49.89 vs 59 (gpt4)-15.4%
WinoGrande: 78.37 vs 87.5 (gpt4)-10.4%
GSM8K: 30.17 vs 96.4 (so35)-68.7%
LLME Score: 0.15102
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)
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 | 2025-09-23 |
| Maintainer | Mr-Bhaskar |
| Model Type | gemma |
| Model Files | |
| 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 |
Best Alternatives to Fbt Gemma 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...t Cleaner Gemma 32k Merged 16b | 31K / 17.1 GB | 5 | 0 |
| ...ruct Malayalam Model Vllm 4bit | 16K / 5.6 GB | 7 | 0 |
| Gemma 1.1 7B It 4bit | 8K / 5.9 GB | 186 | 4 |
| Gemma 1.1 7B It 4bit | 8K / 5.9 GB | 3 | 1 |
| Gemma 7B 8bit | 8K / 9.4 GB | 15 | 1 |
| ... Codegemma 2 7B It Alpaca V1.2 | 8K / 17.1 GB | 16 | 0 |
| Codegemma 7B It 8bit | 8K / 9.5 GB | 170 | 5 |
| Codegemma 7B 4bit | 8K / 5.9 GB | 43 | 1 |
| Codegemma 7B It 4bit | 8K / 5.9 GB | 28 | 1 |
| Swahili Gemma | 8K / 17.1 GB | 10 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Mr-Bhaskar/fbt-gemma-7b .
Rank the Fbt Gemma 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a