Model Card on HF 🤗: https://huggingface.co/arsen7076/MMed_llama_3_8b_retrained
MMed Llama 3 8b Retrained 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)
MMed Llama 3 8B Retrained Parameters and Internals
| LLM Name | MMed Llama 3 8b Retrained |
| Repository 🤗 | https://huggingface.co/arsen7076/MMed_llama_3_8b_retrained |
| Model Size | 8b |
| Required VRAM | 7.2 GB |
| Updated | 2025-02-01 |
| Maintainer | arsen7076 |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.31.0 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| PEFT Type | LORA |
| PEFT Target Modules | gate_proj|down_proj|up_proj|o_proj|k_proj|q_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.1 |
| R Param | 128 |
| Torch Data Type | bfloat16 |
Best Alternatives to MMed Llama 3 8B Retrained
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| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 6623 | 678 |
| MrRoboto ProLong 8B V4i | 1024K / 16.1 GB | 66 | 1 |
| ...o ProLongBASE Pt8 Unaligned 8B | 1024K / 16.1 GB | 24 | 0 |
| Mpasila Viking 8B | 1024K / 16.1 GB | 59 | 0 |
| 4 | 1024K / 16.1 GB | 322 | 0 |
| Thor V1.4 8B DARK FICTION | 1024K / 16.1 GB | 941 | 2 |
| 16 | 1024K / 16.1 GB | 169 | 0 |
| Because Im Bored Nsfw1 | 1024K / 16.1 GB | 66 | 1 |
| 11 | 1024K / 16.1 GB | 113 | 0 |
| NBeerbower Narrative 8B 64K | 1024K / 16.1 GB | 32 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than arsen7076/MMed_llama_3_8b_retrained .
Rank the MMed Llama 3 8B Retrained Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227