|
--- |
|
base_model: ibm-granite/granite-20b-code-instruct |
|
datasets: |
|
- bigcode/commitpackft |
|
- TIGER-Lab/MathInstruct |
|
- meta-math/MetaMathQA |
|
- glaiveai/glaive-code-assistant-v3 |
|
- glaive-function-calling-v2 |
|
- bugdaryan/sql-create-context-instruction |
|
- garage-bAInd/Open-Platypus |
|
- nvidia/HelpSteer |
|
inference: false |
|
library_name: gguf |
|
license: apache-2.0 |
|
metrics: |
|
- code_eval |
|
model-index: |
|
- name: granite-20b-code-instruct |
|
results: |
|
- dataset: |
|
name: HumanEvalSynthesis(Python) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 60.4 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalSynthesis(JavaScript) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 53.7 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalSynthesis(Java) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 58.5 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalSynthesis(Go) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 42.1 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalSynthesis(C++) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 45.7 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalSynthesis(Rust) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 42.7 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalExplain(Python) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 44.5 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalExplain(JavaScript) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 42.7 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalExplain(Java) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 49.4 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalExplain(Go) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 32.3 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalExplain(C++) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 42.1 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalExplain(Rust) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 18.3 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalFix(Python) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 43.9 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalFix(JavaScript) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 43.9 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalFix(Java) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 45.7 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalFix(Go) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 41.5 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalFix(C++) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 41.5 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
- dataset: |
|
name: HumanEvalFix(Rust) |
|
type: bigcode/humanevalpack |
|
metrics: |
|
- name: pass@1 |
|
type: pass@1 |
|
value: 29.9 |
|
veriefied: false |
|
task: |
|
type: text-generation |
|
pipeline_tag: text-generation |
|
quantized_by: legraphista |
|
tags: |
|
- code |
|
- granite |
|
- quantized |
|
- GGUF |
|
- quantization |
|
- imat |
|
- imatrix |
|
- static |
|
- 16bit |
|
- 8bit |
|
- 6bit |
|
- 5bit |
|
- 4bit |
|
- 3bit |
|
- 2bit |
|
- 1bit |
|
--- |
|
|
|
# granite-20b-code-instruct-IMat-GGUF |
|
_Llama.cpp imatrix quantization of ibm-granite/granite-20b-code-instruct_ |
|
|
|
Original Model: [ibm-granite/granite-20b-code-instruct](https://huggingface.co/ibm-granite/granite-20b-code-instruct) |
|
Original dtype: `BF16` (`bfloat16`) |
|
Quantized by: llama.cpp [b3649](https://github.com/ggerganov/llama.cpp/releases/tag/b3649) |
|
IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt) |
|
|
|
- [Files](#files) |
|
- [IMatrix](#imatrix) |
|
- [Common Quants](#common-quants) |
|
- [All Quants](#all-quants) |
|
- [Downloading using huggingface-cli](#downloading-using-huggingface-cli) |
|
- [Inference](#inference) |
|
- [Simple chat template](#simple-chat-template) |
|
- [Chat template with system prompt](#chat-template-with-system-prompt) |
|
- [Llama.cpp](#llama-cpp) |
|
- [FAQ](#faq) |
|
- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere) |
|
- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf) |
|
|
|
--- |
|
|
|
## Files |
|
|
|
### IMatrix |
|
Status: ✅ Available |
|
Link: [here](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/imatrix.dat) |
|
|
|
### Common Quants |
|
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
|
| -------- | ---------- | --------- | ------ | ------------ | -------- | |
|
| [granite-20b-code-instruct.Q8_0.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q8_0.gguf) | Q8_0 | 21.48GB | ✅ Available | ⚪ Static | 📦 No |
|
| [granite-20b-code-instruct.Q6_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q6_K.gguf) | Q6_K | 16.63GB | ✅ Available | ⚪ Static | 📦 No |
|
| [granite-20b-code-instruct.Q4_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q4_K.gguf) | Q4_K | 12.82GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.Q3_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q3_K.gguf) | Q3_K | 10.57GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.Q2_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q2_K.gguf) | Q2_K | 7.93GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
|
|
|
|
### All Quants |
|
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
|
| -------- | ---------- | --------- | ------ | ------------ | -------- | |
|
| [granite-20b-code-instruct.BF16.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.BF16.gguf) | BF16 | 40.24GB | ✅ Available | ⚪ Static | 📦 No |
|
| [granite-20b-code-instruct.FP16.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.FP16.gguf) | F16 | 40.24GB | ✅ Available | ⚪ Static | 📦 No |
|
| [granite-20b-code-instruct.Q8_0.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q8_0.gguf) | Q8_0 | 21.48GB | ✅ Available | ⚪ Static | 📦 No |
|
| [granite-20b-code-instruct.Q6_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q6_K.gguf) | Q6_K | 16.63GB | ✅ Available | ⚪ Static | 📦 No |
|
| [granite-20b-code-instruct.Q5_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q5_K.gguf) | Q5_K | 14.81GB | ✅ Available | ⚪ Static | 📦 No |
|
| [granite-20b-code-instruct.Q5_K_S.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q5_K_S.gguf) | Q5_K_S | 14.02GB | ✅ Available | ⚪ Static | 📦 No |
|
| [granite-20b-code-instruct.Q4_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q4_K.gguf) | Q4_K | 12.82GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.Q4_K_S.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q4_K_S.gguf) | Q4_K_S | 11.67GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ4_NL.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ4_NL.gguf) | IQ4_NL | 11.55GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ4_XS.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ4_XS.gguf) | IQ4_XS | 10.94GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.Q3_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q3_K.gguf) | Q3_K | 10.57GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.Q3_K_L.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q3_K_L.gguf) | Q3_K_L | 11.74GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.Q3_K_S.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q3_K_S.gguf) | Q3_K_S | 8.93GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ3_M.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ3_M.gguf) | IQ3_M | 9.59GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ3_S.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ3_S.gguf) | IQ3_S | 8.93GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ3_XS.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ3_XS.gguf) | IQ3_XS | 8.66GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ3_XXS.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ3_XXS.gguf) | IQ3_XXS | 8.06GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.Q2_K.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q2_K.gguf) | Q2_K | 7.93GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.Q2_K_S.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.Q2_K_S.gguf) | Q2_K_S | 7.15GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ2_M.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ2_M.gguf) | IQ2_M | 7.05GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ2_S.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ2_S.gguf) | IQ2_S | 6.53GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ2_XS.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ2_XS.gguf) | IQ2_XS | 6.16GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ2_XXS.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ2_XXS.gguf) | IQ2_XXS | 5.57GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ1_M.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ1_M.gguf) | IQ1_M | 4.91GB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [granite-20b-code-instruct.IQ1_S.gguf](https://huggingface.co/legraphista/granite-20b-code-instruct-IMat-GGUF/blob/main/granite-20b-code-instruct.IQ1_S.gguf) | IQ1_S | 4.52GB | ✅ 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/granite-20b-code-instruct-IMat-GGUF --include "granite-20b-code-instruct.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/granite-20b-code-instruct-IMat-GGUF --include "granite-20b-code-instruct.Q8_0/*" --local-dir ./ |
|
# see FAQ for merging GGUF's |
|
``` |
|
|
|
--- |
|
|
|
## Inference |
|
|
|
### Simple chat template |
|
``` |
|
Question: |
|
{user_prompt} |
|
|
|
Answer: |
|
{assistant_response} |
|
|
|
Question: |
|
{next_user_prompt} |
|
|
|
|
|
``` |
|
|
|
### Chat template with system prompt |
|
``` |
|
System: |
|
{system_prompt} |
|
|
|
Question: |
|
{user_prompt} |
|
|
|
Answer: |
|
{assistant_response} |
|
|
|
Question: |
|
{next_user_prompt} |
|
|
|
|
|
``` |
|
|
|
### Llama.cpp |
|
``` |
|
llama.cpp/main -m granite-20b-code-instruct.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](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), 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 |
|
- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases |
|
- Download the appropriate zip for your system from the latest release |
|
- Unzip the archive and you should be able to find `gguf-split` |
|
2. Locate your GGUF chunks folder (ex: `granite-20b-code-instruct.Q8_0`) |
|
3. Run `gguf-split --merge granite-20b-code-instruct.Q8_0/granite-20b-code-instruct.Q8_0-00001-of-XXXXX.gguf granite-20b-code-instruct.Q8_0.gguf` |
|
- Make sure to point `gguf-split` to the first chunk of the split. |
|
|
|
--- |
|
|
|
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |
