Autotrain compatible Dataset:lajonbot/alpaca-dolly-... Endpoints compatible Facebook Instruct Llama Llama2 Lora Meta Pl Pytorch Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/Lajonbot/vicuna-7b-v1.5-PL-lora_unload
Vicuna 7B V1.5 PL Lora Unload Benchmarks
ARC: 53.5 vs 96.7 (so35)-44.7%
HellaSwag: 76.74 vs 95.3 (gpt4)-19.5%
MMLU: 49.69 vs 88.3 (so35)-43.7%
TruthfulQA: 49.68 vs 59 (gpt4)-15.8%
WinoGrande: 71.98 vs 87.5 (gpt4)-17.7%
GSM8K: 7.2 vs 96.4 (so35)-92.5%
LLME Score: 0.14348
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)
Vicuna 7B V1.5 PL Lora Unload Parameters and Internals
| Model Type |
|
| LLM Name | Vicuna 7B V1.5 PL Lora Unload |
| Repository 🤗 | https://huggingface.co/Lajonbot/vicuna-7b-v1.5-PL-lora_unload |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2025-09-23 |
| Maintainer | Lajonbot |
| Model Type | llama-2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | pl |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| LoRA Model | Yes |
| Torch Data Type | float16 |
Best Alternatives to Vicuna 7B V1.5 PL Lora Unload
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| A3.4 | 1024K / 16.1 GB | 13 | 0 |
| A5.4 | 1024K / 16.1 GB | 12 | 0 |
| A2.4 | 1024K / 16.1 GB | 12 | 0 |
| 124 | 1024K / 16.1 GB | 93 | 0 |
| ... Qwen2.5llamaify 7B V23.1 200K | 195K / 15.2 GB | 1055 | 5 |
| SuperNeuralDreadDevil 8B | 128K / 16.1 GB | 249 | 1 |
| Falcon3 7B Instruct | 32K / 14.8 GB | 24008 | 73 |
| Falcon3 Jessi V0.4 7B Slerp | 32K / 14.9 GB | 11 | 9 |
| Jessi V0.4 Falcon3 7B Instruct | 32K / 14.8 GB | 6 | 0 |
| Jessi V0.6 Falcon3 7B Instruct | 32K / 14.8 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Lajonbot/vicuna-7b-v1.5-PL-lora_unload .
Rank the Vicuna 7B V1.5 PL Lora Unload Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124