Tweet Sentiment Analyzer is an open-source language model by Vivaan21. Features: 7.2b LLM, VRAM: 7.7GB, LLM Explorer Score: 0.13.
Arxiv:1910.09700 8-bit Bitsandbytes Conversational Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorboard Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vivaan21/Tweet-Sentiment_Analyzer
Tweet Sentiment Analyzer 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)
Tweet Sentiment Analyzer Parameters and Internals
| LLM Name | Tweet Sentiment Analyzer |
| Repository 🤗 | https://huggingface.co/Vivaan21/Tweet-Sentiment_Analyzer |
| Model Size | 7.2b |
| Required VRAM | 7.7 GB |
| Updated | 2026-05-10 |
| Maintainer | Vivaan21 |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|o_proj|v_proj|up_proj|gate_proj|q_proj|down_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.1 |
| R Param | 8 |
Best Alternatives to Tweet Sentiment Analyzer
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Zephyr Tuning V1 | 0K / 14.4 GB | 1747 | 0 |
| Spydaz Web AI 025 | 0K / 14.4 GB | 44 | 0 |
| Small Fut Final | 0K / 14.4 GB | 13 | 1 |
| Last Model Too Long Time | 0K / 14.4 GB | 8 | 1 |
| Big Fut Final | 0K / 14.4 GB | 0 | 1 |
| DummySFT | 0K / 28.9 GB | 6 | 0 |
| Ethicalsft | 0K / 28.9 GB | 6 | 0 |
| MistralRAG | 0K / 14.4 GB | 4 | 1 |
| GAMA Code Generator V1.0 | 0K / 14.4 GB | 8 | 0 |
| G8 Mistral7b Qlora 1211 V09feb | 0K / 14.4 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Vivaan21/Tweet-Sentiment_Analyzer .
Rank the Tweet Sentiment Analyzer Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a