Arxiv:1910.09700 4bit Autotrain compatible Conversational Endpoints compatible Gemma Pytorch Quantized Region:us Sft Sharded Trl Unsloth
Fbt Gemma 7B Inst 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)
Fbt Gemma 7B Inst Parameters and Internals
| LLM Name | Fbt Gemma 7B Inst |
| Repository 🤗 | https://huggingface.co/Mr-Bhaskar/fbt-gemma-7b-inst |
| Model Size | 7b |
| Required VRAM | 17.1 GB |
| Updated | 2024-09-06 |
| 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 Inst
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 | 6 | 0 |
| Gemma 7B Bnb 4bit | 8K / 5.6 GB | 14557 | 16 |
| Fbt Gemma 7B | 8K / 17.1 GB | 6 | 0 |
| Codegemma 7B It 8bit | 8K / 9.5 GB | 33 | 4 |
| Codegemma 7B It 4bit | 8K / 5.9 GB | 12 | 1 |
| Codegemma 7B 4bit | 8K / 5.9 GB | 10 | 0 |
| Diff Codegemma 7B | 8K / 17.1 GB | 5 | 0 |
| Gemma 1.1 7B It 4bit | 8K / 5.9 GB | 10 | 4 |
| Gemma 1.1 7B It 4bit | 8K / 5.9 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Mr-Bhaskar/fbt-gemma-7b-inst .
Rank the Fbt Gemma 7B Inst Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803