muhamad-geosurge/invert-polarity-ccdba2f4-e48f-4398-bf15-cb62bd3b8380

AI model by muhamad-geosurge

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The Mistral-7B-Instruct-v0.3 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.3. Mistral-7B-v0.3 has the following changes compared to Mistral-7B-v0.2 It is recommended to use mistralai/Mistral-7B-Instruct-v0.3 with mistral-inference. For HF transformers code snippets, please keep scrolling. After installing mistralinference, a mistral-chat CLI command should be available in your environment. You can chat with the model using If you want to use Hugging Face transformers to generate text, you can do something like this. To use this example, you'll need transformers version 4.42.0 or higher. Please see the function calling guide in the transformers docs for more information. Note that, for reasons of space, this example does not show a complete cycle of calling a tool and adding the tool call and tool results to the chat history so that the model can use them in its next generation. For a full tool calling example, please see the function…

muhamad-geosurge/invert-polarity-ccdba2f4-e48f-4398-bf15-cb62bd3b8380 on Hugging Face A short preview, not the full document.

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Model overview

muhamad-geosurge/invert-polarity-ccdba2f4-e48f-4398-bf15-cb62bd3b8380 is a task-unspecified model repository published by muhamad-geosurge on Hugging Face. The source reports the vllm library.

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Model facts

Task: Not reported
Library: vllm
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: 7,248,031,744
Architecture: MistralForCausalLM
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-09-23T06:13:37.000Z
Last modified: 2026-09-23T06:14:58.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: mistralai/Mistral-7B-v0.3

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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