4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... Conversational En Endpoints compatible Gguf Instruct Mistral Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/mychen76/mistral_ocr2json_v3_chatml_GGUF
Mistral Ocr2json V3 Chatml GGUF 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)
Mistral Ocr2json V3 Chatml GGUF Parameters and Internals
| Model Type |
|
| LLM Name | Mistral Ocr2json V3 Chatml GGUF |
| Repository 🤗 | https://huggingface.co/mychen76/mistral_ocr2json_v3_chatml_GGUF |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.4 GB |
| Updated | 2025-01-15 |
| Maintainer | mychen76 |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Mistral Ocr2json V3 Chatml GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 21 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 2149820 | 74 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 2304358 | 10 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 966 | 7 |
| Qwen UMLS 7B Instruct GGUF | 0K / 4.7 GB | 836 | 8 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 57078 | 8 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 94517 | 411 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 157 | 7 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 17 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mychen76/mistral_ocr2json_v3_chatml_GGUF .
Rank the Mistral Ocr2json V3 Chatml GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227