ModelHub XC fd72899d08 初始化项目,由ModelHub XC社区提供模型
Model: legraphista/Llama-3.1-Storm-8B-IMat-GGUF
Source: Original Platform
2026-07-24 22:47:14 +08:00

base_model, inference, language, library_name, license, pipeline_tag, quantized_by, tags
base_model inference language library_name license pipeline_tag quantized_by tags
akjindal53244/Llama-3.1-Storm-8B false
en
de
fr
it
pt
hi
es
th
gguf llama3.1 text-generation legraphista
llama-3.1
conversational
instruction following
reasoning
function calling
mergekit
finetuning
axolotl
quantized
GGUF
quantization
imat
imatrix
static
16bit
8bit
6bit
5bit
4bit
3bit
2bit
1bit

Llama-3.1-Storm-8B-IMat-GGUF

Llama.cpp imatrix quantization of akjindal53244/Llama-3.1-Storm-8B

Original Model: akjindal53244/Llama-3.1-Storm-8B
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3606
IMatrix dataset: here


Files

IMatrix

Status: Available
Link: here

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Llama-3.1-Storm-8B.Q8_0.gguf Q8_0 8.54GB Available Static 📦 No
Llama-3.1-Storm-8B.Q6_K.gguf Q6_K 6.60GB Available Static 📦 No
Llama-3.1-Storm-8B.Q4_K.gguf Q4_K 4.92GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.Q3_K.gguf Q3_K 4.02GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.Q2_K.gguf Q2_K 3.18GB Available 🟢 IMatrix 📦 No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Llama-3.1-Storm-8B.BF16.gguf BF16 16.07GB Available Static 📦 No
Llama-3.1-Storm-8B.FP16.gguf F16 16.07GB Available Static 📦 No
Llama-3.1-Storm-8B.Q8_0.gguf Q8_0 8.54GB Available Static 📦 No
Llama-3.1-Storm-8B.Q6_K.gguf Q6_K 6.60GB Available Static 📦 No
Llama-3.1-Storm-8B.Q5_K.gguf Q5_K 5.73GB Available Static 📦 No
Llama-3.1-Storm-8B.Q5_K_S.gguf Q5_K_S 5.60GB Available Static 📦 No
Llama-3.1-Storm-8B.Q4_K.gguf Q4_K 4.92GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.Q4_K_S.gguf Q4_K_S 4.69GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ4_NL.gguf IQ4_NL 4.68GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ4_XS.gguf IQ4_XS 4.45GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.Q3_K.gguf Q3_K 4.02GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.Q3_K_L.gguf Q3_K_L 4.32GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.Q3_K_S.gguf Q3_K_S 3.66GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ3_M.gguf IQ3_M 3.78GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ3_S.gguf IQ3_S 3.68GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ3_XS.gguf IQ3_XS 3.52GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ3_XXS.gguf IQ3_XXS 3.27GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.Q2_K.gguf Q2_K 3.18GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.Q2_K_S.gguf Q2_K_S 2.99GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ2_M.gguf IQ2_M 2.95GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ2_S.gguf IQ2_S 2.76GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ2_XS.gguf IQ2_XS 2.61GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ2_XXS.gguf IQ2_XXS 2.40GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ1_M.gguf IQ1_M 2.16GB Available 🟢 IMatrix 📦 No
Llama-3.1-Storm-8B.IQ1_S.gguf IQ1_S 2.02GB Available 🟢 IMatrix 📦 No

Downloading using huggingface-cli

If you do not have hugginface-cli installed:

pip install -U "huggingface_hub[cli]"

Download the specific file you want:

huggingface-cli download legraphista/Llama-3.1-Storm-8B-IMat-GGUF --include "Llama-3.1-Storm-8B.Q8_0.gguf" --local-dir ./

If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:

huggingface-cli download legraphista/Llama-3.1-Storm-8B-IMat-GGUF --include "Llama-3.1-Storm-8B.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference

Simple chat template

<|begin_of_text|><|start_header_id|>user<|end_header_id|>

{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>

{next_user_prompt}<|eot_id|>

Chat template with system prompt

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>

{next_user_prompt}<|eot_id|>

Llama.cpp

llama.cpp/main -m Llama-3.1-Storm-8B.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"

FAQ

Why is the IMatrix not applied everywhere?

According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

How do I merge a split GGUF?

  1. Make sure you have gguf-split available
  2. Locate your GGUF chunks folder (ex: Llama-3.1-Storm-8B.Q8_0)
  3. Run gguf-split --merge Llama-3.1-Storm-8B.Q8_0/Llama-3.1-Storm-8B.Q8_0-00001-of-XXXXX.gguf Llama-3.1-Storm-8B.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!

Description
Model synced from source: legraphista/Llama-3.1-Storm-8B-IMat-GGUF
Readme 152 KiB