What are the hardware requirements for Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed?

Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed requires approximately 4.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed?

Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed by PrunaAI — VRAM 4.5GB, 32K context

Name: Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed
Author: PrunaAI

Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 3.9b LLM, VRAM: 4.5GB, Context: 32K, Quantized, LLM Explorer Score: 0.13.

4-bit 4bit Base model:mychen76/mistral7b ... Base model:quantized:mychen76/... Bitsandbytes Mistral Pruna-ai Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/PrunaAI/mychen76-mistral7b_ocr_to_json_v1-bnb-4bit-smashed

Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed Parameters and Internals

Model Type

text generation

Additional Notes

The model utilizes the safetensors format. Various metrics evaluate efficiency such as inference latency, throughput, etc.

Training Details

Data Sources:

WikiText

Methodology:

The model is compressed with llm-int8.

Input Output

Input Format:

text input tokenized by AutoTokenizer.

Accepted Modalities:

text

Output Format:

Generated text.

Performance Tips:

Run the model in specific use-case conditions to assess efficiency gains.

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)	Mistral7b Ocr To Json V1 mychen76/mistral7b_ocr_to_json_v1
Model Size	3.9b
Required VRAM	4.5 GB
Updated	2025-09-23
Maintainer	PrunaAI
Model Type	mistral
Model Files	4.5 GB
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

Rank the Mychen76 Mistral7b Ocr To Json V1 Bnb 4bit Smashed capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/mychen76-mistral7b_ocr_to_json_v1-bnb-4bit-smashed.