4-bit Android Autotrain compatible Awq Base model:google/gemma-2b Base model:quantized:google/ge... Conversational En Function calling Gemma Gguf On-device language model Q2 Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/NexaAIDev/Octopus-v2-gguf-awq
Octopus V2 Gguf AWQ 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 AWQ Parameters and Internals
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| LLM Name | Octopus V2 Gguf AWQ |
| Repository 🤗 | https://huggingface.co/NexaAIDev/Octopus-v2-gguf-awq |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 1.2 GB |
| Updated | 2025-07-21 |
| Maintainer | NexaAIDev |
| Model Type | gemma |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| AWQ Quantization | Yes |
| Quantization Type | gguf|awq|q2|q4_k|q5_k |
| Model Architecture | GemmaForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256022 |
| Torch Data Type | float16 |
Best Alternatives to Octopus V2 Gguf AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Octopus V2 Gguf AWQ | 8K / 1.2 GB | 2780 | 7 |
| Gemma 2B It | 8K / 5.1 GB | 327369 | 795 |
| Gemma 2B | 8K / 5.1 GB | 122865 | 1072 |
| Gemma 2B It | 8K / 1.5 GB | 11 | 0 |
| Gemma 2B It | 8K / 5.1 GB | 27 | 1 |
| Gemma 2B T | 8K / 5.1 GB | 6 | 0 |
| Gemma 2B It Code | 8K / 5.1 GB | 11 | 0 |
| Gemma 2B It Q | 8K / 1.6 GB | 56 | 1 |
| Gemma Help Tiny Sft | 8K / 5.1 GB | 267 | 1 |
| Gemma 2B It Q4 K M GGUF | 8K / 1.6 GB | 2077 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than NexaAIDev/Octopus-v2-gguf-awq .
Rank the Octopus V2 Gguf AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124