Gemma 2B Gptq 8bit is an open-source language model by vessl. Features: 2b LLM, VRAM: 3.1GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/vessl/gemma-2b-gptq-8bit
Gemma 2B Gptq 8bit Benchmarks
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 2B Gptq 8bit Parameters and Internals
| LLM Name | Gemma 2B Gptq 8bit |
| Repository 🤗 | https://huggingface.co/vessl/gemma-2b-gptq-8bit |
| Model Size | 2b |
| Required VRAM | 3.1 GB |
| Updated | 2026-04-03 |
| Maintainer | vessl |
| Model Type | gemma |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|8bit |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Gemma 2B Gptq 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 1.1 2B It GPTQ | 8K / 3.1 GB | 22381 | 1 |
| Gemma 2B Gptq 4bit | 8K / 2.1 GB | 11 | 0 |
| Gemma 2B GPTQ | 8K / 2.1 GB | 164 | 1 |
| CodeGemma 2B GPTQ | 8K / 3.1 GB | 44 | 1 |
| ... 2B It Hermes Function Calling | 8K / 5.1 GB | 6 | 0 |
| Gemma 2B It Bnb 4bit | 8K / 2.1 GB | 5049 | 20 |
| Vi Gemma 2B RAG | 8K / 5.1 GB | 15 | 13 |
| Gemma 2B Bnb 4bit | 8K / 2.1 GB | 2470 | 16 |
| My AwesomeFinance Model | 8K / 2.1 GB | 5 | 0 |
| ... 2.8 Gemma 2B HQQ 1bit Smashed | 8K / 1.3 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than vessl/gemma-2b-gptq-8bit .
Rank the Gemma 2B Gptq 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a