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RichardErkhov/
satyajitghana_-_mistral-7b-v0.1-alpaca-chat-gguf

Name: satyajitghana_-_mistral-7b-v0.1-alpaca-chat-gguf
Availability: InStock

endpoints_compatible

gguf

template

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Quantization made by Richard Erkhov.

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mistral-7b-v0.1-alpaca-chat - GGUF

Model creator: https://huggingface.co/satyajitghana/
Original model: https://huggingface.co/satyajitghana/mistral-7b-v0.1-alpaca-chat/

Name	Quant method	Size
mistral-7b-v0.1-alpaca-chat.Q2_K.gguf	Q2_K	2.53GB
mistral-7b-v0.1-alpaca-chat.IQ3_XS.gguf	IQ3_XS	2.81GB
mistral-7b-v0.1-alpaca-chat.IQ3_S.gguf	IQ3_S	2.96GB
mistral-7b-v0.1-alpaca-chat.Q3_K_S.gguf	Q3_K_S	2.95GB
mistral-7b-v0.1-alpaca-chat.IQ3_M.gguf	IQ3_M	3.06GB
mistral-7b-v0.1-alpaca-chat.Q3_K.gguf	Q3_K	3.28GB
mistral-7b-v0.1-alpaca-chat.Q3_K_M.gguf	Q3_K_M	3.28GB
mistral-7b-v0.1-alpaca-chat.Q3_K_L.gguf	Q3_K_L	3.56GB
mistral-7b-v0.1-alpaca-chat.IQ4_XS.gguf	IQ4_XS	3.67GB
mistral-7b-v0.1-alpaca-chat.Q4_0.gguf	Q4_0	3.83GB
mistral-7b-v0.1-alpaca-chat.IQ4_NL.gguf	IQ4_NL	3.87GB
mistral-7b-v0.1-alpaca-chat.Q4_K_S.gguf	Q4_K_S	3.86GB
mistral-7b-v0.1-alpaca-chat.Q4_K.gguf	Q4_K	4.07GB
mistral-7b-v0.1-alpaca-chat.Q4_K_M.gguf	Q4_K_M	4.07GB
mistral-7b-v0.1-alpaca-chat.Q4_1.gguf	Q4_1	4.24GB
mistral-7b-v0.1-alpaca-chat.Q5_0.gguf	Q5_0	4.65GB
mistral-7b-v0.1-alpaca-chat.Q5_K_S.gguf	Q5_K_S	4.65GB
mistral-7b-v0.1-alpaca-chat.Q5_K.gguf	Q5_K	4.78GB
mistral-7b-v0.1-alpaca-chat.Q5_K_M.gguf	Q5_K_M	4.78GB
mistral-7b-v0.1-alpaca-chat.Q5_1.gguf	Q5_1	5.07GB
mistral-7b-v0.1-alpaca-chat.Q6_K.gguf	Q6_K	5.53GB
mistral-7b-v0.1-alpaca-chat.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0

Mistral 7B V0.1 - Alpaca

python

from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
import torch

tokenizer = AutoTokenizer.from_pretrained("satyajitghana/mistral-7b-v0.1-alpaca-chat")
model = AutoModelForCausalLM.from_pretrained(
    "satyajitghana/mistral-7b-v0.1-alpaca-chat",
    torch_dtype=torch.bfloat16, 
    device_map="auto"
)

pipe = pipeline(
    "text-generation", 
    model=model, 
    tokenizer=tokenizer, 
)

INPUT = """
### Instruction:
List 3 historical events related to the following country

### Input:
India

### Response:
"""

out = pipe(
    INPUT,
    max_new_tokens=200
)

print(out[0]['generated_text'])

RichardErkhov/satyajitghana_-_mistral-7b-v0.1-alpaca-chat-gguf

Original model description:

license: apache-2.0

Mistral 7B V0.1 - Alpaca

RichardErkhov/
satyajitghana_-_mistral-7b-v0.1-alpaca-chat-gguf