Downloads · 30 days
749
26% of all-time downloads
tinyopsec/Vikhr-Llama-3.2-1B-Instruct-GGUF
Vikhr-Llama-3.2-1B-Instruct-GGUF is a text generation model from tinyopsec. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as llama3.2.
GGUF quantizations of Vikhrmodels/Vikhr-Llama-3.2-1B-Instruct.
Downloads · 30 days
749
26% of all-time downloads
All-time downloads
2.9K
Public
Repo size
10.9 GB
Likes
0
Public
Click a slice to open those files.
.gguf10.9 GB · 100%
From the Hugging Face model README
GGUF quantizations of Vikhrmodels/Vikhr-Llama-3.2-1B-Instruct.
| File | Bits | Size | Use Case |
|---|---|---|---|
model_f16.gguf | 16 | ~2.5 GB | Maximum quality, reference |
model_q8_0.gguf | 8 | ~1.3 GB | Best quality, near-lossless |
model_q6_k.gguf | 6 | ~1.0 GB | Great quality |
model_q5_k_m.gguf | 5 | ~0.9 GB | Balanced quality/size |
model_q5_k_s.gguf | 5 | ~0.85 GB | Slightly smaller Q5 |
model_q4_k_m.gguf | 4 | ~0.77 GB | Recommended, good balance |
model_q4_k_s.gguf | 4 | ~0.72 GB | Smaller Q4 |
model_q3_k_l.gguf | 3 | ~0.65 GB | Low VRAM, decent quality |
model_q3_k_m.gguf | 3 | ~0.60 GB | Low VRAM |
model_q3_k_s.gguf | 3 | ~0.55 GB | Very low VRAM |
model_q2_k.gguf | 2 | ~0.45 GB | Minimum size, lowest quality |
| Quant | VRAM |
|---|---|
| F16 | ~3 GB |
| Q8_0 | ~1.8 GB |
| Q6_K | ~1.5 GB |
| Q5_K_M | ~1.3 GB |
| Q4_K_M | ~1.1 GB |
| Q3_K_M | ~0.8 GB |
| Q2_K | ~0.6 GB |
./llama-cli -m model_q4_k_m.gguf -p "Your prompt here" -n 512
from llama_cpp import Llama
llm = Llama(
model_path="model_q4_k_m.gguf",
n_ctx=2048,
n_gpu_layers=-1
)
response = llm(
"Your prompt here",
max_tokens=512,
stop=["<|eot_id|>"]
)
print(response["choices"][0]["text"])
Download any .gguf file and load it directly in LM Studio.
ollama run hf.co/tinyopsec/Vikhr-Llama-3.2-1B-Instruct-GGUF
Vikhrmodels/Vikhr-Llama-3.2-1B-Instruct
Quantized using llama.cpp.