Upload folder using huggingface_hub

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Gemopus-v1-e2b-lora.gguf filter=lfs diff=lfs merge=lfs -text

Gemopus-v1-e2b-lora.gguf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c6a2f3ff523f9563ed229c7dd5506f8aeb3ed8ddc79f9e3fafdbfbde3c7767d
+size 5371936

NOTICE.txt

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+Gemopus v1 checkpoint-400 is a LoRA adapter fine-tuned from google/gemma-4-E2B-it.
+
+The base model google/gemma-4-E2B-it is licensed under Apache-2.0.
+
+This repository does not include the base model weights. To use this adapter, load it together with a compatible Gemma 4 E2B GGUF base model.

README.md

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 ---
 license: apache-2.0
+base_model: google/gemma-4-E2B-it
+library_name: llama.cpp
+pipeline_tag: text-generation
+tags:
+  - gguf
+  - lora
+  - adapter
+  - gemma4
+  - text-generation
+  - coding
 ---
+
+# Gemopus v1 checkpoint-400 GGUF LoRA
+
+Gemopus v1 checkpoint-400 is a GGUF LoRA adapter trained by Disc View / Disc Labs.
+
+This repo contains the checkpoint-400 LoRA adapter only:
+
+```text
+Gemopus-v1-e2b-lora.gguf
+```
+
+It is not a standalone full model. To run it, load it together with the base model GGUF.
+
+## Base Model
+
+Base architecture/model family:
+
+```text
+google/gemma-4-E2B-it
+```
+
+Recommended local GGUF base file:
+
+```text
+gemma-4-E2B-it-Q4_K_M.gguf
+```
+
+## Identity
+
+Gemopus v1 is a Gemma-based model fine-tuned toward a helpful, structured, Claude-like assistant style. It is not Claude, not Anthropic, and not a standalone model without the base model.
+
+Suggested system prompt:
+
+```text
+You are Gemopus v1 by Disc View / Disc Labs, a Gemma-based model fine-tuned toward a Claude-like helpful, structured assistant style. Be helpful, accurate, clear, and strong at coding.
+```
+
+## llama.cpp Usage
+
+Example:
+
+```bash
+llama-server \
+  --model gemma-4-E2B-it-Q4_K_M.gguf \
+  --lora Gemopus-v1-e2b-lora.gguf \
+  --alias gemopus-v1-e2b-lora \
+  --ctx-size 4096
+```
+
+Then call the OpenAI-compatible endpoint:
+
+```text
+http://127.0.0.1:8080/v1/chat/completions
+```
+
+## Important
+
+If the model answers that it is stock Gemma or trained by Google, then the LoRA adapter is not attached. Make sure both files are loaded together:
+
+```text
+base GGUF + Gemopus-v1-e2b-lora.gguf
+```
+
+## Training Notes
+
+This is a LoRA fine-tune checkpoint exported to GGUF adapter format. It was trained as Gemopus v1 checkpoint-400 with a focus on clearer instruction following, coding help, and structured answers.

RUN_LOCALLY.md

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+# Run Gemopus v1 checkpoint-400 locally
+
+This repo is a GGUF LoRA adapter. Use it with a compatible Gemma 4 E2B GGUF base model.
+
+Example with llama.cpp:
+
+```bash
+llama-server --model gemma-4-E2B-it-Q4_K_M.gguf --lora Gemopus-v1-e2b-lora.gguf --alias gemopus-v1-e2b-lora --ctx-size 4096
+```
+
+Test prompt:
+
+```text
+Who are you, what base are you based on, and are you using checkpoint-400?
+```
+
+Expected kind of answer:
+
+```text
+I am Gemopus v1 by Disc View / Disc Labs, a Gemma-based model fine-tuned toward a Claude-like assistant style.
+```

upload_to_huggingface.ps1

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+param(
+    [Parameter(Mandatory = $true)]
+    [string]$RepoId,
+
+    [string]$Token = ""
+)
+
+$ErrorActionPreference = "Stop"
+
+Write-Host "This uploads the GGUF LoRA adapter repo to Hugging Face:" -ForegroundColor Cyan
+Write-Host $RepoId -ForegroundColor Yellow
+Write-Host ""
+Write-Host "Important: this is an adapter repo, not a standalone merged full model." -ForegroundColor Yellow
+Write-Host ""
+
+if (-not (Get-Command hf -ErrorAction SilentlyContinue)) {
+    $hfFromPython = Join-Path $env:LOCALAPPDATA "Python\pythoncore-3.14-64\Scripts\hf.exe"
+    if (Test-Path -LiteralPath $hfFromPython) {
+        $script:HfCli = $hfFromPython
+    }
+    else {
+        $script:HfCli = "hf"
+    }
+}
+else {
+    $script:HfCli = "hf"
+}
+
+if (-not (Get-Command $script:HfCli -ErrorAction SilentlyContinue) -and -not (Test-Path -LiteralPath $script:HfCli)) {
+    Write-Host "Installing huggingface_hub..." -ForegroundColor Cyan
+    py -m pip install -U huggingface_hub
+    $script:HfCli = Join-Path $env:LOCALAPPDATA "Python\pythoncore-3.14-64\Scripts\hf.exe"
+}
+
+if ($Token) {
+    $tokenArgs = @("--token", $Token)
+}
+else {
+    $tokenArgs = @()
+    Write-Host "If upload fails with 403, create a Hugging Face token with WRITE access and rerun with -Token YOUR_TOKEN." -ForegroundColor Yellow
+}
+
+Write-Host "Creating repo if needed..." -ForegroundColor Cyan
+& $script:HfCli repo create $RepoId --type model --public --exist-ok @tokenArgs
+
+Write-Host "Uploading files..." -ForegroundColor Cyan
+& $script:HfCli upload $RepoId . . --repo-type model @tokenArgs
+
+Write-Host "Done. Repo uploaded:" -ForegroundColor Green
+Write-Host "https://huggingface.co/$RepoId"