Distilbert Base Uncased Go Emotions Student GGUF
GGUF conversion of joeddav/distilbert-base-uncased-go-emotions-student, a DistilBERT model distilled from a zero-shot classification pipeline into the 28 GoEmotions labels, for use with llama.cpp.
Fuente del modelo
- Tipo
- Embedding
- Tamaño del archivo
- 45,2–129 MB
- Modelo base
- joeddav/distilbert-base-uncased-go-emotions-student
- Versión
- vRevision fa69551
- Actualizado
- 4 oct 2026
- Publicador
- @chartreuse-verte
- Descargas
- 87
- Fuente
- Hugging Face
Descripción de la fuente
distilbert-base-uncased-go-emotions-student-GGUF
GGUF conversion of joeddav/distilbert-base-uncased-go-emotions-student, a DistilBERT model distilled from a zero-shot classification pipeline into the 28 GoEmotions labels, for use with llama.cpp.
Files
| File | Quant | Size |
|---|---|---|
| goemotions-f16.gguf | F16 | 129 MiB |
| goemotions-Q8_0.gguf | Q8_0 | 70 MiB |
| goemotions-Q6_K.gguf | Q6_K | 54 MiB |
| goemotions-Q4_K_M.gguf | Q4_K_M | 45 MiB |
Usage
Run with llama-embedding using rank pooling to get the 28 classifier logits:
llama-embedding -m goemotions-Q8_0.gguf --pooling rank --embd-normalize -1 -p "your text here"
Note: --embd-normalize defaults to 2 (L2 normalization), which is meaningless for classifier logits — always pass --embd-normalize -1 to get raw scores.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 4 oct
Artefactos del modelo
4 artefactos
Artefactos del modelo
4 artefactosExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: mit base_model: joeddav/distilbert-base-uncased-go-emotions-student tags: - gguf - llama.cpp - text-classification - emotion pipeline_tag: text-classification --- # distilbert-base-uncased-go-emotions-student-GGUF GGUF conversion of [joeddav/distilbert-base-uncased-go-emotions-student](https://huggingface.co/joeddav/distilbert-base-uncased-go-emotions-student), a DistilBERT model distilled from a zero-shot classification pipeline into the 28 GoEmotions labels, for use with [llama.cpp](https://github.com/ggml-org/llama.cpp). ## Files | File | Quant | Size | |---|---|---| | goemotions-f16.gguf | F16 | 129 MiB | | goemotions-Q8_0.gguf | Q8_0 | 70 MiB | | goemotions-Q6_K.gguf | Q6_K | 54 MiB | | goemotions-Q4_K_M.gguf | Q4_K_M | 45 MiB | ## Usage Run with `llama-embedding` using rank pooling to get the 28 classifier logits: ``` llama-embedding -m goemotions-Q8_0.gguf --pooling rank --embd-normalize -1 -p "your text here" ``` Note: `--embd-normalize` defaults to 2 (L2 normalization), which is meaningless for classifier logits — always pass `--embd-normalize -1` to get raw scores.
Source context: 87 downloads · 0 likes · Pipeline text-classification · Repo chartreuse-verte/distilbert-base-uncased-go-emotions-student-GGUF
Source context: 129 downloads · 0 likes · Pipeline text-classification · Repo chartreuse-verte/distilbert-base-uncased-go-emotions-student-GGUF
