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Model: srs6901/Vikras-MixP
Source: Original Platform

Vikra-HCT-YeAM-LLaGemma-1B/README.md

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+---
+license: gemma
+library_name: transformers
+pipeline_tag: text-generation
+base_model: google/gemma-3-1b-pt
+---
+
+# Vikra-HCT-YeAM-LLaGemma-1B
+Llama-3.2-1B-Instruct + Gemma-3-1b-pt
+
+HCT architecture release. YeAM (Yet Another Merge) implementation invariant.
+
+## What it is
+
+A compact 1B-class model produced via HCT-compatible merging.
+The checkpoint is published in standard Hugging Face format (safetensors + index).
+
+## YeAM summary
+
+YeAM performs a controlled merge in a real 4D geometric formulation with ray-intersection alignment in parameter space.
+It also supports targeted knowledge injection (distillation-style) into a chosen model while remaining HF-compatible.
+
+## Usage (Transformers)
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+m = "/path/to/Vikra-HCT-YeAM-LLaGemma-1B"
+
+tok = AutoTokenizer.from_pretrained(m, use_fast=False)
+model = AutoModelForCausalLM.from_pretrained(
+    m,
+    torch_dtype=torch.bfloat16,
+    device_map="cuda",
+).eval()
+
+inputs = tok("Hello!", return_tensors="pt").to(model.device)
+out = model.generate(**inputs, max_new_tokens=128)
+print(tok.decode(out[0], skip_special_tokens=True))
+```
+
+## GGUF
+
+Convert and quantize with llama.cpp (example):
+
+```bash
+python3 /path/to/llama.cpp/convert_hf_to_gguf.py /path/to/model --outtype bf16 --outfile model.bf16.gguf
+/path/to/llama.cpp/build/bin/llama-quantize model.bf16.gguf model.Q6_K.gguf Q6_K
+```