Cheng98 / llama-160m

huggingface.co
Total runs: 54
24-hour runs: 0
7-day runs: 21
30-day runs: 46
Model's Last Updated: July 07 2023
text-generation

Introduction of llama-160m

Model Details of llama-160m

A toy Llama adapted from JackFram/llama-160m with special tokens added.

This checkpoint can be loaded into MASE's LlamaQuantized

from transformers.models.llama import LlamaTokenizer
from chop.models.manual.llama_quantized import (
    LlamaQuantizedConfig,
    LlamaQuantizedForCausalLM,
)

name="Cheng98/llama-160m"
tokenizer = LlamaTokenizer.from_pretrained(name)

# override the quant_config to quantized the model
# default does not quantize llama
config = LlamaQuantizedConfig.from_pretrained(
    name,
    # quant_config="./quant_config_na.toml"

)

llama = LlamaQuantizedForCausalLM.from_pretrained(
    name,
    config=config,
)

Runs of Cheng98 llama-160m on huggingface.co

54
Total runs
0
24-hour runs
2
3-day runs
21
7-day runs
46
30-day runs

More Information About llama-160m huggingface.co Model

More llama-160m license Visit here:

https://choosealicense.com/licenses/apache-2.0

llama-160m huggingface.co

llama-160m huggingface.co is an AI model on huggingface.co that provides llama-160m's model effect (), which can be used instantly with this Cheng98 llama-160m model. huggingface.co supports a free trial of the llama-160m model, and also provides paid use of the llama-160m. Support call llama-160m model through api, including Node.js, Python, http.

llama-160m huggingface.co Url

https://huggingface.co/Cheng98/llama-160m

Cheng98 llama-160m online free

llama-160m huggingface.co is an online trial and call api platform, which integrates llama-160m's modeling effects, including api services, and provides a free online trial of llama-160m, you can try llama-160m online for free by clicking the link below.

Cheng98 llama-160m online free url in huggingface.co:

https://huggingface.co/Cheng98/llama-160m

llama-160m install

llama-160m is an open source model from GitHub that offers a free installation service, and any user can find llama-160m on GitHub to install. At the same time, huggingface.co provides the effect of llama-160m install, users can directly use llama-160m installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

llama-160m install url in huggingface.co:

https://huggingface.co/Cheng98/llama-160m

Url of llama-160m

llama-160m huggingface.co Url

Provider of llama-160m huggingface.co

Cheng98
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