MUSE News Llama 2 7B Npo Beta0p1 Lr1e 5 Lam1 Ep5 Bestretain is an open-source language model by Jeesup. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, LLM Explorer Score: 0.28.
Base model:finetune:muse-bench... Base model:muse-bench/muse-new... Endpoints compatible Llama Muse News Region:us Safetensors Sharded Tensorflow Unlearning
Model Card on HF 🤗: https://huggingface.co/Jeesup/MUSE-News_Llama-2-7b_npo_beta0p1_lr1e-5_lam1_ep5_bestretain
MUSE News Llama 2 7b Npo Beta0p1 Lr1e 5 Lam1 Ep5 Bestretain 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)
MUSE News Llama 2 7B Npo Beta0p1 Lr1e 5 Lam1 Ep5 Bestretain Parameters and Internals
| LLM Name | MUSE News Llama 2 7b Npo Beta0p1 Lr1e 5 Lam1 Ep5 Bestretain |
| Repository 🤗 | https://huggingface.co/Jeesup/MUSE-News_Llama-2-7b_npo_beta0p1_lr1e-5_lam1_ep5_bestretain |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2026-06-29 |
| Maintainer | Jeesup |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to MUSE News Llama 2 7B Npo Beta0p1 Lr1e 5 Lam1 Ep5 Bestretain
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 124 | 1024K / 16.1 GB | 93 | 0 |
| 162 | 1024K / 16.1 GB | 60 | 0 |
| 157 | 1024K / 16.1 GB | 101 | 0 |
| 118 | 1024K / 16.1 GB | 15 | 0 |
| A5.4 | 1024K / 16.1 GB | 12 | 0 |
| A3.4 | 1024K / 16.1 GB | 13 | 0 |
| A2.4 | 1024K / 16.1 GB | 12 | 0 |
| A6 L | 1024K / 16.1 GB | 201 | 0 |
| M | 1024K / 16.1 GB | 127 | 0 |
| 2 Very Sci Fi | 1024K / 16.1 GB | 317 | 0 |
Rank the MUSE News Llama 2 7B Npo Beta0p1 Lr1e 5 Lam1 Ep5 Bestretain Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a