Karen TheEditor V2 STRICT Mistral 7B By FPHam: Benchmarks, Features and Detailed Analysis. Insights on Karen TheEditor V2 STRICT Mistral 7B.

Autotrain compatible Conversational Endpoints compatible Grammar Llama Mistral Region:us Safetensors Sharded Spellcheck Tensorflow

Model Card on HF 🤗: https://huggingface.co/FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B

Karen TheEditor V2 STRICT Mistral 7B Benchmarks

ARC: 59.56 vs 96.7 (so35)^-38.4%

HellaSwag: 81.79 vs 95.3 (gpt4)^-14.2%

MMLU: 59.56 vs 88.3 (so35)^-32.5%

TruthfulQA: 49.36 vs 59 (gpt4)^-16.3%

WinoGrande: 74.35 vs 87.5 (gpt4)^-15%

GSM8K: 30.17 vs 96.4 (so35)^-68.7%

LLME Score: 0.14919

^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)

Karen TheEditor V2 STRICT Mistral 7B (FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B)

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Karen TheEditor V2 STRICT Mistral 7B Parameters and Internals

Model Type

Grammar Correction, Spelling Correction

Use Cases

Areas:

Grammatical and spelling correction

Applications:

Text editing for US English

Primary Use Cases:

Correcting grammar and spelling errors

Limitations:

Occasional grammar misses, Model size limitation with 7B parameters.

Considerations:

The model assumes the user is a competent writer and aims not to alter the original style significantly.

Additional Notes

The model is designed to not change the style of the text.

Training Details

Data Sources:

Fiction/non-fiction US text

Methodology:

Reversed training with intentional error insertion by another Llama model and Python scripts.

Input Output

Input Format:

Text prompts

Accepted Modalities:

text

Output Format:

Corrected text output

Performance Tips:

Karen should be used by submitting a paragraph or block of text at a time.

LLM Name	Karen TheEditor V2 STRICT Mistral 7B
Repository 🤗	https://huggingface.co/FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2025-09-23
Maintainer	FPHam
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	llama2
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32002
Torch Data Type	float16

Quantized Models of the Karen TheEditor V2 STRICT Mistral 7B

Model	Likes	Downloads	VRAM
...itor V2 STRICT Mistral 7B GGUF	10	202	3 GB
...itor V2 STRICT Mistral 7B GPTQ	3	12	4 GB
...ditor V2 STRICT Mistral 7B AWQ	2	9	4 GB

Best Alternatives to Karen TheEditor V2 STRICT Mistral 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	141	18
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8908	50
SpydazWeb AI HumanAI RP	512K / 14.4 GB	17	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8082	16
Hebrew Mistral 7B 200K	256K / 30 GB	1316	15
Astral 256K 7B V2	250K / 14.4 GB	5	0
Astral 256K 7B	250K / 14.4 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B.

Rank the Karen TheEditor V2 STRICT Mistral 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241124

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