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Mistral 7B V0.1 Q4 K M GGUF by arnavchopraa

 »  All LLMs  »  arnavchopraa  »  Mistral 7B V0.1 Q4 K M GGUF   URL Share it on

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  Autotrain compatible   En   Endpoints compatible   Gguf   Gguf-my-repo   Llama-cpp   Mistral   Pretrained   Q4   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/arnavchopraa/Mistral-7B-v0.1-Q4_K_M-GGUF 

Mistral 7B V0.1 Q4 K M GGUF Benchmarks

LLME Score: 0.18815
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.1 Q4 K M GGUF (arnavchopraa/Mistral-7B-v0.1-Q4_K_M-GGUF)

Mistral 7B V0.1 Q4 K M GGUF Parameters and Internals

Model Type 
pretrained, llama-cpp, gguf-my-repo
Additional Notes 
This model was converted to GGUF format from mistralai/Mistral-7B-v0.1 using llama.cpp via the ggml.ai's GGUF-my-repo space.
LLM NameMistral 7B V0.1 Q4 K M GGUF
Repository 🤗https://huggingface.co/arnavchopraa/Mistral-7B-v0.1-Q4_K_M-GGUF 
Model Size7b
Required VRAM4.4 GB
Updated2025-02-16
Maintainerarnavchopraa
Model Typemistral
Model Files  4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than arnavchopraa/Mistral-7B-v0.1-Q4_K_M-GGUF.

Rank the Mistral 7B V0.1 Q4 K M GGUF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Release v20241227
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