Arxiv:1910.09700 4-bit Autotrain compatible Conversational Endpoints compatible Gptq Llama Lora Region:us Safetensors Sharded Tensorflow Unsloth
Quantized Mcqa Model 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)
Quantized Mcqa Model Parameters and Internals
| LLM Name | Quantized Mcqa Model |
| Repository 🤗 | https://huggingface.co/beam-searchers/quantized_mcqa_model |
| Model Size | 2b |
| Required VRAM | 5.8 GB |
| Updated | 2024-08-26 |
| Maintainer | beam-searchers |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| 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 | v_proj|up_proj|o_proj|k_proj|down_proj|q_proj|gate_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
Best Alternatives to Quantized Mcqa Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...emma 2B Lora Lbox Ljp Modified | 0K / 10 GB | 15 | 0 |
| Gemma 2B Orca Mwp Lora V0.2 | 0K / 0.2 GB | 7 | 0 |
| ...hogpt Ft Qna Qchv 2021 Test Gr | 0K / 0.1 GB | 6 | 0 |
| Phogpt Ft Qna Qchv 2021 | 0K / 0.1 GB | 5 | 0 |
| Gemma 2B Instruct Fiqa | 0K / 5.1 GB | 5 | 0 |
| Gemma 2B It | 0K / 5.1 GB | 5 | 0 |
| Code Gemma 2B It | 0K / 5.1 GB | 68 | 5 |
| Gemma Chatbot | 0K / 5.1 GB | 10 | 1 |
| Gemma 2B ForexAI | 0K / 10 GB | 17 | 5 |
| Gemma 2B It Ja Poc | 0K / 5.1 GB | 43 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than beam-searchers/quantized_mcqa_model .
Rank the Quantized Mcqa Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803