4-bit 4bit Autotrain compatible Base model:mychen76/mistral7b ... Base model:quantized:mychen76/... Bitsandbytes Endpoints compatible Mistral Pruna-ai Quantized Region:us Safetensors
Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed 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)
Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed Parameters and Internals
| LLM Name | Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed |
| Repository 🤗 | https://huggingface.co/PrunaAI/mychen76-mistral7b_ocr_to_json_v1-bnb-4bit-smashed |
| Base Model(s) | |
| Model Size | 3.9b |
| Required VRAM | 4.5 GB |
| Updated | 2024-09-18 |
| Maintainer | PrunaAI |
| Model Type | mistral |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Spydaz Web AI 026 4bit | 32K / 4.2 GB | 23 | 0 |
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| Mcqa 4bit | 32K / 4.1 GB | 5 | 0 |
| Mistral 4bit Bnb | 32K / 4.1 GB | 5 | 0 |
| Yugo55 GPT V4 4bit | 32K / 4.1 GB | 504 | 1 |
| Rezephyr Merged 4bit | 32K / 4.1 GB | 60 | 0 |
| Zephyr DPO 4bit | 32K / 4.1 GB | 62 | 0 |
| ...Spydaz Web AI ChatQA 003 4 BIT | 512K / 4.1 GB | 54 | 0 |
| ...Spydaz Web AI ChatQA 002 4 BIT | 512K / 4.1 GB | 51 | 0 |
| ...ydaz Web AI ChatQA 002r1 4 BIT | 512K / 4.1 GB | 46 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/mychen76-mistral7b_ocr_to_json_v1-bnb-4bit-smashed .
Rank the Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803