Downloads · 30 days
115
2% of all-time downloads
pankajpandey-dev/qwen3.5-9b-hindi-instruct-GGUF
qwen3.5-9b-hindi-instruct-GGUF is a text generation model from pankajpandey-dev. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Native-Hindi Qwen3.5-9B for your laptop. Quantized from pankajpandey-dev/qwen3.5-9b-hindi-instruct. Answers directly in Devanagari — no English thinking, no code-switching.
Downloads · 30 days
115
2% of all-time downloads
All-time downloads
5.4K
Public
Repo size
22.2 GB
Likes
1
Public
Click a slice to open those files.
.gguf22.2 GB · 100%
From the Hugging Face model README
Native-Hindi Qwen3.5-9B for your laptop. Quantized from pankajpandey-dev/qwen3.5-9b-hindi-instruct. Answers directly in Devanagari — no English thinking, no code-switching.
| File | Size | RAM needed | Use when |
|---|---|---|---|
| Q4_K_M | ~5.7 GB | ~8 GB | Recommended — best size/quality on CPU |
| Q5_K_M | ~6.7 GB | ~9 GB | More quality headroom |
| Q8_0 | ~10 GB | ~12 GB | Near-lossless |
llama.cpp (build from ~March 2026 or newer for Qwen3.5 support):
llama-cli -m qwen3.5-9b-hindi-Q4_K_M.gguf --jinja -cnv --repeat-penalty 1.1
LM Studio: search this repo name, download Q4_K_M, set repeat penalty 1.1, chat. Python (llama-cpp-python 0.3.32 or newer):
from llama_cpp import Llama
llm = Llama(model_path="qwen3.5-9b-hindi-Q4_K_M.gguf", n_ctx=4096)
r = llm.create_chat_completion(
messages=[{"role": "user", "content": "योग के चार लाभ बताइए।"}],
repeat_penalty=1.1)
print(r["choices"][0]["message"]["content"])
Ollama: ollama run hf.co/pankajpandey-dev/qwen3.5-9b-hindi-instruct-GGUF:Q4_K_M — needs an Ollama build with Qwen3.5 support; if it errors, use llama.cpp or LM Studio.
Tip: use repeat penalty 1.1 — long letter-style outputs can loop without it.
Weekly open releases making small LLMs speak fluent, native Hindi — trained on free/low-cost GPUs, shipped as GGUF for laptops and edge devices. Built by pankajpandey-dev (contact links on profile).
This release: Model · GGUF · LoRA · Series: 🇮🇳 Hindi LLM Collection