Vietcuna 7B V3 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)
Vietcuna 7B V3 AWQ Parameters and Internals
| LLM Name | Vietcuna 7B V3 AWQ |
| Repository 🤗 | https://huggingface.co/tienhung36/vietcuna-7b-v3-AWQ |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 7.2 GB |
| Updated | 2024-09-07 |
| Maintainer | tienhung36 |
| Model Type | bloom |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | BloomForCausalLM |
| Transformers Version | 4.35.2 |
| Tokenizer Class | BloomTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 250880 |
| Torch Data Type | float16 |
Best Alternatives to Vietcuna 7B V3 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Vietcuna 7B V3 AWQ | 0K / 7.2 GB | 18 | 0 |
| Tigerbot 7B Sft V1 4bit | 0K / 5.2 GB | 13 | 6 |
| Phoenix Inst Chat 7B Int4 | 2K / 5.2 GB | 10 | 6 |
| ...lama 2 7B Chat Hf Text Teacher | 0K / 2.2 GB | 6 | 0 |
| ...Qa Llama 2 7B Chat Hf Uld Loss | 0K / 2.2 GB | 5 | 0 |
| ...tral 7B Instruct V0.2 Uld Loss | 0K / 2.2 GB | 5 | 0 |
| ... 7B Instruct V0.2 Text Teacher | 0K / 2.2 GB | 5 | 0 |
| Yayi 7B | 0K / 28.2 GB | 750 | 28 |
| Gogpt 7B Bloom | 0K / 32.3 GB | 685 | 3 |
| Phoenix Inst Chat 7B | 0K / 16.2 GB | 1311 | 43 |
Rank the Vietcuna 7B V3 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803