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Alpaca Mistral 7B V0.2 by teleboas

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Alpaca Mistral 7B V0.2 is an open-source language model by teleboas. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Mistral   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/teleboas/alpaca_mistral-7b-v0.2 

Alpaca Mistral 7B V0.2 Benchmarks

LLME Score: 0.13072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpaca Mistral 7B V0.2 (teleboas/alpaca_mistral-7b-v0.2)
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Alpaca Mistral 7B V0.2 Parameters and Internals

Additional Notes 
Quantized versions available
Training Details 
Data Sources:
yahma/alpaca-cleaned
Methodology:
finetuning
LLM NameAlpaca Mistral 7B V0.2
Repository 🤗https://huggingface.co/teleboas/alpaca_mistral-7b-v0.2 
Base Model(s)  unsloth/mistral-7b-v0.2-bnb-4bit   unsloth/mistral-7b-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2026-05-26
Maintainerteleboas
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than teleboas/alpaca_mistral-7b-v0.2.

Rank the Alpaca Mistral 7B V0.2 Capabilities

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