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vonjack_-_SmolLM2-360M-Merged-gguf
RichardErkhov/vonjack_-_SmolLM2-360M-Merged-gguf
vonjack_-_SmolLM2-360M-Merged-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Mar 13, 2025
- Updated
- Mar 13, 2025
- SHA
- dbf8eaf3
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
SmolLM2-360M-Merged - GGUF
- Model creator: https://huggingface.co/vonjack/
- Original model: https://huggingface.co/vonjack/SmolLM2-360M-Merged/
| Name | Quant method | Size |
|---|---|---|
| SmolLM2-360M-Merged.Q2_K.gguf | Q2_K | 0.2GB |
| SmolLM2-360M-Merged.IQ3_XS.gguf | IQ3_XS | 0.2GB |
| SmolLM2-360M-Merged.IQ3_S.gguf | IQ3_S | 0.2GB |
| SmolLM2-360M-Merged.Q3_K_S.gguf | Q3_K_S | 0.2GB |
| SmolLM2-360M-Merged.IQ3_M.gguf | IQ3_M | 0.21GB |
| SmolLM2-360M-Merged.Q3_K.gguf | Q3_K | 0.22GB |
| SmolLM2-360M-Merged.Q3_K_M.gguf | Q3_K_M | 0.22GB |
| SmolLM2-360M-Merged.Q3_K_L.gguf | Q3_K_L | 0.23GB |
| SmolLM2-360M-Merged.IQ4_XS.gguf | IQ4_XS | 0.21GB |
| SmolLM2-360M-Merged.Q4_0.gguf | Q4_0 | 0.21GB |
| SmolLM2-360M-Merged.IQ4_NL.gguf | IQ4_NL | 0.21GB |
| SmolLM2-360M-Merged.Q4_K_S.gguf | Q4_K_S | 0.24GB |
| SmolLM2-360M-Merged.Q4_K.gguf | Q4_K | 0.25GB |
| SmolLM2-360M-Merged.Q4_K_M.gguf | Q4_K_M | 0.25GB |
| SmolLM2-360M-Merged.Q4_1.gguf | Q4_1 | 0.23GB |
| SmolLM2-360M-Merged.Q5_0.gguf | Q5_0 | 0.25GB |
| SmolLM2-360M-Merged.Q5_K_S.gguf | Q5_K_S | 0.26GB |
| SmolLM2-360M-Merged.Q5_K.gguf | Q5_K | 0.27GB |
| SmolLM2-360M-Merged.Q5_K_M.gguf | Q5_K_M | 0.27GB |
| SmolLM2-360M-Merged.Q5_1.gguf | Q5_1 | 0.27GB |
| SmolLM2-360M-Merged.Q6_K.gguf | Q6_K | 0.34GB |
| SmolLM2-360M-Merged.Q8_0.gguf | Q8_0 | 0.36GB |
Original model description:
library_name: transformers tags:
- mergekit
- merge base_model:
- HuggingFaceTB/SmolLM2-360M
- HuggingFaceTB/SmolLM2-360M-Instruct model-index:
- name: SmolLM2-360M-Merged
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc value: 32.06 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vonjack/SmolLM2-360M-Merged name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm value: 4.74 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vonjack/SmolLM2-360M-Merged name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match value: 0.76 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vonjack/SmolLM2-360M-Merged name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm value: 0.78 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vonjack/SmolLM2-360M-Merged name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm value: 3.36 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vonjack/SmolLM2-360M-Merged name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc value: 1.09 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=vonjack/SmolLM2-360M-Merged name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
SmolLM2-360M-Merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using HuggingFaceTB/SmolLM2-360M as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: HuggingFaceTB/SmolLM2-360M-Instruct
parameters:
weight: 1
merge_method: ties
base_model: HuggingFaceTB/SmolLM2-360M
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 7.13 |
| IFEval (0-Shot) | 32.06 |
| BBH (3-Shot) | 4.74 |
| MATH Lvl 5 (4-Shot) | 0.76 |
| GPQA (0-shot) | 0.78 |
| MuSR (0-shot) | 3.36 |
| MMLU-PRO (5-shot) | 1.09 |
- Created
- Mar 13, 2025
- Updated
- Mar 13, 2025