vinallama 7B chat: local hardware requirements and GPU compatibility
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Local AI model

vinallama 7B chat

by ViLM

10 of 22 reference machines run it entirely in accelerator memory at 8k context, and 3 more with CPU offload.

6.9B Parameters 4k Maximum context 1 Quantization Full Compatibility coverage
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Overview

Publisher
ViLM
Family
Quyen
Series
vinallama 7B
Task
Text generation
Architecture
dense · llama
Parameters
6.9B
Maximum context
4,096 tokens
Licence
llama2
Published
2023-12-12
Formats
gguf, safetensors
KV cache per token (f16)
524,288 B · standard attention, exact
Compatibility coverage
Full: verdicts computed
Upstream repository
vilm/vinallama-7b-chat
Official page
https://huggingface.co/vilm

Quantizations and file sizes

Quantization Runtime Weights Memory floor at 4k Identity
Q5_0gguf llama.cppvilm/vinallama-7b-chat-GGUF/vinallama-7b-chat_q5_0.gguf 4.42 GB 6.42 GB digest verified

Sizes come from the runtime registry or repository listing. The memory floor adds the KV cache for 4,096 tokens when that figure cannot over-count; it is an estimate, not a requirement.

Runtimes

Compatibility on reference machines

8k context, 32 GB system RAM, best catalogued quantization per machine.

Machine Memory Answer Known facts
GeForce RTX 3060 12GB 12.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 12.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 4070 12GB 12.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 12.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 5070 12GB 12.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 12.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 4060 Ti 16GB 16.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 16.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 4080 16GB 16.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 16.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 5060 Ti 16GB 16.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 16.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 5080 16GB 16.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 16.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 3090 24GB 24.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 24.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 4090 24GB 24.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 24.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 5090 32GB 32.0 GB VRAM Runs fully in memory estimated · Q5_0 Weights 4.42 GB vs 32.0 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 3060 Laptop GPU 6GB 6.00 GB VRAM Runs with CPU offload estimated · Q5_0 Weights 4.42 GB vs 6.00 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 4060 8GB 8.00 GB VRAM Runs with CPU offload estimated · Q5_0 Weights 4.42 GB vs 8.00 GB VRAM: fitKV cache at 8k: 4.00 GB
GeForce RTX 3080 10GB 10.0 GB VRAM Runs with CPU offload estimated · Q5_0 Weights 4.42 GB vs 10.0 GB VRAM: fitKV cache at 8k: 4.00 GB
Radeon RX 7600 8GB 8.00 GB VRAM Not enough data not verified · Q5_0 Weights 4.42 GB vs 8.00 GB VRAM: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown
Intel Arc B580 12GB 12.0 GB VRAM Not enough data not verified · Q5_0 Weights 4.42 GB vs 12.0 GB VRAM: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown
Radeon RX 7800 XT 16GB 16.0 GB VRAM Not enough data not verified · Q5_0 Weights 4.42 GB vs 16.0 GB VRAM: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown
Radeon RX 9070 XT 16GB 16.0 GB VRAM Not enough data not verified · Q5_0 Weights 4.42 GB vs 16.0 GB VRAM: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown
Intel Arc A770 16GB 16.0 GB VRAM Not enough data not verified · Q5_0 Weights 4.42 GB vs 16.0 GB VRAM: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown
Radeon RX 7900 XTX 24GB 24.0 GB VRAM Not enough data not verified · Q5_0 Weights 4.42 GB vs 24.0 GB VRAM: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown
Mac mini M4 24GB 24.0 GB unified Not enough data not verified · Q5_0 Weights 4.42 GB vs 24.0 GB unified: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown
Mac mini M4 Pro 24GB 24.0 GB unified Not enough data not verified · Q5_0 Weights 4.42 GB vs 24.0 GB unified: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown
MacBook Pro 14-inch M4 Max 36GB 36.0 GB unified Not enough data not verified · Q5_0 Weights 4.42 GB vs 36.0 GB unified: fitKV cache at 8k: 4.00 GBruntime support on this machine: unknown

Definitive answers ("runs", "does not fit") come from the calibrated engine or a physical run. "Potential" rows only compare the weights with memory: the rest of the requirement is not modelled, so they are not verdicts. Unknown is never a failure.

Hardware for this model

Reference GPUs with 12 GB of VRAM or more run this model entirely in memory at 8k context: GeForce RTX 3060 12GB, GeForce RTX 4070 12GB, GeForce RTX 5070 12GB, GeForce RTX 4060 Ti 16GB.

  • Smallest catalogued artifact: 4.42 GB of weights (Q5_0).
  • A GPU with at least 12 GB of VRAM holds those weights.
Explore 12 GB VRAM GPUs
These links open a hardware category search, not a specific product recommendation. Affiliate link — I may earn a commission from qualifying purchases. These links never change a compatibility answer. They follow the memory the data defends, not commission.

Sources and evidence

0 measured, 20 sourced, 4 estimated and 3 unknown fields.

Catalogue record verified 2026-09-17.

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