Model Card on HF 🤗: https://huggingface.co/vilm/vinallama-2.7b
Vinallama 2.7B 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)
Vinallama 2.7B Parameters and Internals
| Model Type |
| |
| Supported Languages |
|
| LLM Name | Vinallama 2.7B |
| Repository 🤗 | https://huggingface.co/vilm/vinallama-2.7b |
| Model Size | 2.7b |
| Required VRAM | 5.5 GB |
| Updated | 2025-02-22 |
| Maintainer | vilm |
| Model Type | llama |
| Model Files | |
| Supported Languages | vi |
| Model Architecture | LlamaForCausalLM |
| License | llama2 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 46304 |
| Torch Data Type | float16 |
Best Alternatives to Vinallama 2.7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Sheared LLaMA 2.7B | 4K / 10.8 GB | 3198 | 60 |
| Shearedplats 2.7B V2 | 4K / 5.7 GB | 3325 | 2 |
| Dopeyshearedplats 2.7B V1 | 4K / 5.7 GB | 1963 | 2 |
| Llama Final | 4K / 5.5 GB | 61 | 0 |
| DPO VinaLlama Completed | 4K / 5.6 GB | 55 | 0 |
| ...redplats 2.7B V2 Instruct V0.1 | 4K / 5.4 GB | 184 | 3 |
| Urllm Ko En 2.7B | 4K / 11.2 GB | 35 | 0 |
| ...heared Llama 2.7B Deita 6K Sft | 4K / 5.4 GB | 142 | 1 |
| Shearedplats 2.7B V1 | 4K / 5.7 GB | 2046 | 2 |
| Sheared LLaMA 2.7B Weblinx | 4K / 5.4 GB | 18 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than vilm/vinallama-2.7b .
Rank the Vinallama 2.7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227