Llama2 7B Finetuned is an open-source language model by stuser2023. Features: 7b LLM, VRAM: 7.6GB, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.1.
8-bit Bitsandbytes Conversational Endpoints compatible Finetuned Llama Lora Region:us Safetensors Sft Sharded Tensorboard Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/stuser2023/Llama2-7b-finetuned
Llama2 7B Finetuned 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)
Llama2 7B Finetuned Parameters and Internals
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| LLM Name | Llama2 7B Finetuned |
| Repository 🤗 | https://huggingface.co/stuser2023/Llama2-7b-finetuned |
| Model Size | 7b |
| Required VRAM | 7.6 GB |
| Updated | 2026-04-05 |
| Maintainer | stuser2023 |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.1 |
| R Param | 8 |
Best Alternatives to Llama2 7B Finetuned
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B V0.3 | 32K / 14.5 GB | 1253 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 39 | 5 |
| ...unoichi Lemon Royale V3 32K 7B | 32K / 14.5 GB | 2 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 513 | 3 |
| Mistralai Mistral 7B V0.3 | 32K / 14.5 GB | 13 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 7 | 3 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 5 | 0 |
| Mistral 7B V0.2 | 32K / 14.5 GB | 566 | 1 |
| Full V4 Astromistral Final | 32K / 4.5 GB | 1 | 1 |
| LlamaGuard 7B | 4K / 13.5 GB | 4073 | 239 |
Note: green Score (e.g. "73.2") means that the model is better than stuser2023/Llama2-7b-finetuned .
Rank the Llama2 7B Finetuned Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a