Finetune Llava V1.5 Japanese Gpt2 Small Test Checkpoint 1200 is an open-source language model by hibikaze. Features: 541m LLM, VRAM: 1.3GB, Fine-Tuned, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/hibikaze/finetune-llava-v1.5-japanese-gpt2-small_test-checkpoint-1200
Finetune Llava V1.5 Japanese Gpt2 Small Test Checkpoint 1200 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)
Finetune Llava V1.5 Japanese Gpt2 Small Test Checkpoint 1200 Parameters and Internals
| LLM Name | Finetune Llava V1.5 Japanese Gpt2 Small Test Checkpoint 1200 |
| Repository 🤗 | https://huggingface.co/hibikaze/finetune-llava-v1.5-japanese-gpt2-small_test-checkpoint-1200 |
| Model Size | 541m |
| Required VRAM | 1.3 GB |
| Updated | 2026-05-26 |
| Maintainer | hibikaze |
| Model Type | llava |
| Model Files | |
| Model Architecture | LlavaGpt2ForCausalLM |
| Model Max Length | 1024 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | T5Tokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Rank the Finetune Llava V1.5 Japanese Gpt2 Small Test Checkpoint 1200 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a