4bit Autotrain compatible Conversational En Endpoints compatible Instruct Llama Lora Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Llama 3 8B Instruct Bnb 4bit DadJokes 100K 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)
Llama 3 8B Instruct Bnb 4bit DadJokes 100K Parameters and Internals
| LLM Name | Llama 3 8B Instruct Bnb 4bit DadJokes 100K |
| Repository 🤗 | https://huggingface.co/NaveenHugs/llama-3-8b-Instruct-bnb-4bit-dadJokes-100k |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2024-09-01 |
| Maintainer | NaveenHugs |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 8192 |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|reserved_special_token_250|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|up_proj|down_proj|gate_proj|v_proj|o_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 64 |
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Note: green Score (e.g. "73.2") means that the model is better than NaveenHugs/llama-3-8b-Instruct-bnb-4bit-dadJokes-100k .
Rank the Llama 3 8B Instruct Bnb 4bit DadJokes 100K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803