llm.create_chat_completion(
messages = "No input example has been defined for this model task."
)Mistral_7B_v0.3_Instruct_UnityResloved : GGUF
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
./llama.cpp/llama-cli -hf Erocal/Mistral_7B_v0.3_Instruct_UnityResloved --jinja - For multimodal models:
./llama.cpp/llama-mtmd-cli -hf Erocal/Mistral_7B_v0.3_Instruct_UnityResloved --jinja
Available Model files:
mistral-7b-instruct-v0.3.Q4_K_M.gguf
Ollama
An Ollama Modelfile is included for easy deployment.
Note
The model's BOS token behavior was adjusted for GGUF compatibility.
This was trained 2x faster with Unsloth
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Hardware compatibility
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# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Erocal/Mistral_7B_v0.3_Instruct_UnityResloved", filename="mistral-7b-instruct-v0.3.Q4_K_M.gguf", )