Instructions to use flyingfishinwater/good_and_small_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use flyingfishinwater/good_and_small_models with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf flyingfishinwater/good_and_small_models:Q4_K_M # Run inference directly in the terminal: llama cli -hf flyingfishinwater/good_and_small_models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf flyingfishinwater/good_and_small_models:Q4_K_M # Run inference directly in the terminal: llama cli -hf flyingfishinwater/good_and_small_models:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf flyingfishinwater/good_and_small_models:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf flyingfishinwater/good_and_small_models:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf flyingfishinwater/good_and_small_models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf flyingfishinwater/good_and_small_models:Q4_K_M
Use Docker
docker model run hf.co/flyingfishinwater/good_and_small_models:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use flyingfishinwater/good_and_small_models with Ollama:
ollama run hf.co/flyingfishinwater/good_and_small_models:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use flyingfishinwater/good_and_small_models with Docker Model Runner:
docker model run hf.co/flyingfishinwater/good_and_small_models:Q4_K_M
- Lemonade
How to use flyingfishinwater/good_and_small_models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull flyingfishinwater/good_and_small_models:Q4_K_M
Run and chat with the model
lemonade run user.good_and_small_models-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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license: apache-2.0
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# Llama3 8B
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Llama 3 is the latest and most advanced LLM trained over 15T tokens, which improves its comprehension and handling of complex language nuances. It features an extended context window of 8k tokens allowing the model to access more information from lengthy passages for more informed decision-making.
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**Prompt Format:**
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```
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GPT4 Correct User: {{prompt}}<|end_of_turn|>GPT4 Correct Assistant:
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```
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#
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Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. It supports both Chinese and English. 通义千问是阿里巴巴公司开发的大大预言模型,支持中英文双语。
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**Model Intention:**
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**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/
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**Model Info URL:** [https://huggingface.co/Qwen/
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**Model License:** [License Info](https://huggingface.co/Qwen/Qwen1.5-4B-Chat/raw/main/LICENSE)
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**Developer:** [https://qwenlm.github.io/](https://qwenlm.github.io/)
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**File Size:**
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**Context Length:**
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**Prompt Format:**
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```
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<|im_start|>assistant
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```
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---
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# Dophin 2.
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This model is based on Mistral-7b-v0.2 with 16k context lengths. It's a uncensored model and supports a variety of instruction, conversational, and coding skills.
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**Model Intention:** It's a uncensored and good skilled English modal best for high performance iPhone, iPad & Mac
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**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/dolphin-2.
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**Model Info URL:** [https://huggingface.co/cognitivecomputations/dolphin-2.
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**Model License:** [License Info](https://www.apache.org/licenses/LICENSE-2.0)
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**Developer:** [https://erichartford.com/](https://erichartford.com/)
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**File Size:**
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**Context Length:**
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**Prompt Format:**
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```
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<|im_start|>assistant
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```
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**Add EOS Token:** No
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**Parse Special Tokens:** Yes
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# Llama3 8B
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Llama 3 is the latest and most advanced LLM trained over 15T tokens, which improves its comprehension and handling of complex language nuances. It features an extended context window of 8k tokens allowing the model to access more information from lengthy passages for more informed decision-making.
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**Prompt Format:**
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```
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{{system}}
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GPT4 Correct User: {{prompt}}<|end_of_turn|>GPT4 Correct Assistant:
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```
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---
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# Qwen2 7B Chat
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Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. It supports both Chinese and English. 通义千问是阿里巴巴公司开发的大大预言模型,支持中英文双语。
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**Model Intention:** Qwen2 is the new series that generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual capability, coding, mathematics, reasoning, etc
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**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen2-7B-Instruct-Q3_K_S.gguf?download=true](https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen2-7B-Instruct-Q3_K_S.gguf?download=true)
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**Model Info URL:** [https://huggingface.co/Qwen/Qwen2-7B-Instruct-GGUF](https://huggingface.co/Qwen/Qwen2-7B-Instruct-GGUF)
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**Model License:** [License Info](https://huggingface.co/Qwen/Qwen1.5-4B-Chat/raw/main/LICENSE)
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**Developer:** [https://qwenlm.github.io/](https://qwenlm.github.io/)
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**File Size:** 3490 MB
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**Context Length:** 2048 tokens
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**Prompt Format:**
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```
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<|im_start|>system
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{{system_prompt}}<|im_end|>
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<|im_start|>
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{{prompt}}<|im_end|>
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<|im_start|>assistant
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```
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**Template Name:** chatml
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**Add BOS Token:** Yes
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**Add EOS Token:** No
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**Parse Special Tokens:** Yes
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---
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# Qwen2 1.5B Chat
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Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. It supports both Chinese and English. 通义千问是阿里巴巴公司开发的大大预言模型,支持中英文双语。
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**Model Intention:** Qwen2 is the new series that generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual capability, coding, mathematics, reasoning, etc
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**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen2-1.5B-Instruct.Q4_K_M.gguf?download=true](https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/Qwen2-1.5B-Instruct.Q4_K_M.gguf?download=true)
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**Model Info URL:** [https://huggingface.co/Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct)
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**Model License:** [License Info](https://huggingface.co/Qwen/Qwen1.5-4B-Chat/raw/main/LICENSE)
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**Model Description:** Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. It supports both Chinese and English. 通义千问是阿里巴巴公司开发的大大预言模型,支持中英文双语。
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**Developer:** [https://qwenlm.github.io/](https://qwenlm.github.io/)
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**File Size:** 986 MB
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**Context Length:** 2048 tokens
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**Prompt Format:**
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```
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<|im_start|>system
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{{system_prompt}}<|im_end|>
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<|im_start|>
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{{prompt}}<|im_end|>
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<|im_start|>assistant
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```
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---
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# Dophin 2.9.2 Qwen2 7B
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This model is based on Mistral-7b-v0.2 with 16k context lengths. It's a uncensored model and supports a variety of instruction, conversational, and coding skills.
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**Model Intention:** It's a uncensored and good skilled English modal best for high performance iPhone, iPad & Mac
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**Model URL:** [https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/dolphin-2.9.2-qwen2-7b-Q3_K_S.gguf?download=true](https://huggingface.co/flyingfishinwater/good_and_small_models/resolve/main/dolphin-2.9.2-qwen2-7b-Q3_K_S.gguf?download=true)
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**Model Info URL:** [https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-7b-gguf](https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-7b-gguf)
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**Model License:** [License Info](https://www.apache.org/licenses/LICENSE-2.0)
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**Developer:** [https://erichartford.com/](https://erichartford.com/)
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**File Size:** 3490 MB
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**Context Length:** 2048 tokens
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**Prompt Format:**
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```
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<|im_start|>system
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{{system_prompt}}<|im_end|>
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<|im_start|>user
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{{prompt}}<|im_end|>
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<|im_start|>assistant
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```
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**Add EOS Token:** No
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**Parse Special Tokens:** Yes
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