Android Autotrain compatible Base model:nexaaidev/octopus-v... Base model:quantized:nexaaidev... Conversational En Function calling Gemma Gguf On-device language model Q2 Quantized Region:us
Octopus V2 GGUF 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)
Octopus V2 GGUF Parameters and Internals
| LLM Name | Octopus V2 GGUF |
| Repository 🤗 | https://huggingface.co/second-state/Octopus-v2-GGUF |
| Model Name | Octopus-V2-2B |
| Model Creator | NexaAIDev |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 1.2 GB |
| Updated | 2024-10-18 |
| Maintainer | second-state |
| Model Type | gemma |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q2|q4_k|q5_k |
| Model Architecture | GemmaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.39.0.dev0 |
| Vocabulary Size | 256022 |
| Torch Data Type | bfloat16 |
Best Alternatives to Octopus V2 GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 2B It | 8K / 5.1 GB | 102391 | 669 |
| Gemma 2B | 8K / 5.1 GB | 509686 | 902 |
| Gemma 2B It | 8K / 5.1 GB | 12 | 1 |
| ...mma 2b Sauerkraut Gguf Chunked | 8K / 0.1 GB | 166 | 0 |
| Gemma 2B T | 8K / 5.1 GB | 9 | 0 |
| Gemma 2B It Code | 8K / 5.1 GB | 18 | 0 |
| Gemma 2B It Q | 8K / 1.6 GB | 15 | 1 |
| Gemma 2B It GGUF | 8K / 0.9 GB | 6923 | 4 |
| G2ft V2 | 8K / 5 GB | 16 | 0 |
| Gemma Reformat Text Finetune | 8K / 5.1 GB | 22 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than second-state/Octopus-v2-GGUF .
Rank the Octopus V2 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803