dolphin-mistral-7b (JARVIS mimic)

Original Dolphin-Mistral 7B v2.8 Q4_0 GGUF weights (same family as Ollama dolphin-mistral:7b used by the JARVIS FastAPI app), plus a FastAPI-aligned IMDb/MPAA multi-level system prompt.

Weights are not re-trained (no GPU LoRA here). Behavior is updated the same way the Python app does: ChatML template + rating ladder.

What changed vs stock Ollama

Layer	Stock `dolphin-mistral:7b`	This mimic
GGUF	Q4_0 7B, 32k ctx	Same v2.8 Q4_0 defaults
SYSTEM	"You are Dolphin, a helpful AI assistant."	FastAPI `PROMPTS` G / PG / PG-13 / R / NC-17
Extra	none	Infer IMDb-style rating, emit `IMDB_RATING:`, then answer at that level. FastAPI `rating` is a ceiling.

Use with Ollama

ollama create dolphin-mistral-imdb:7b -f Modelfile
ollama run dolphin-mistral-imdb:7b

Python helper: fastapi_imdb_prompts.py (build_ollama_payload).

Provenance

GGUF: bartowski/dolphin-2.8-mistral-7b-v02-GGUF file dolphin-2.8-mistral-7b-v02-Q4_0.gguf
Upstream: cognitivecomputations/dolphin-2.8-mistral-7b-v02 (Apache-2.0)
Prompt ladder: JARVIS_APP FastAPI main.py PROMPTS / build_ollama_payload

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GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

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Model tree for Samzzzed/dolphin-mistral-7b

Base model

mistral-community/Mistral-7B-v0.2

Finetuned

dphn/dolphin-2.8-mistral-7b-v02

Quantized

(7)

this model