V2 is an open-source language model by AlexWortega. Features: 7.3b LLM, VRAM: 14.6GB, Context: 32K, LLM Explorer Score: 0.11.
Model Card on HF 🤗: https://huggingface.co/AlexWortega/v2
V2 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)
V2 Parameters and Internals
| LLM Name | V2 |
| Repository 🤗 | https://huggingface.co/AlexWortega/v2 |
| Model Size | 7.3b |
| Required VRAM | 14.6 GB |
| Updated | 2026-05-26 |
| Maintainer | AlexWortega |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 40000 |
| Torch Data Type | bfloat16 |
Best Alternatives to V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| A.X 3.1 Light | 32K / 14.5 GB | 510 | 42 |
Note: green Score (e.g. "73.2") means that the model is better than AlexWortega/v2 .
Rank the V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a