content.raw: 🦅 SmolLM2-Eagle Collection - 
content.type: text
content.value: 🦅 SmolLM2-Eagle Collection - 
content.raw: https://huggingface.co/collections/nyuuzyou/smollm2-eagle-680263bf97f0c7e6bbe4936b
content.id: nyuuzyou/smollm2-eagle-680263bf97f0c7e6bbe4936b
content.type: collection
content.type: resource
content.url: https://huggingface.co/collections/nyuuzyou/smollm2-eagle-680263bf97f0c7e6bbe4936b
content.type: new_line
content.type: new_line
content.raw: Collection of fine-tuned bilingual language models featuring:
content.type: text
content.value: Collection of fine-tuned bilingual language models featuring:
content.type: new_line
content.raw: - Models in three parameter sizes: 135M, 360M, and 1.7B based on HuggingFaceTB's SmolLM2 models
content.type: text
content.value: - Models in three parameter sizes: 135M, 360M, and 1.7B based on HuggingFaceTB's SmolLM2 models
content.type: new_line
content.raw: - Both standard and GGUF formats for flexible deployment in llama.cpp and Ollama
content.type: text
content.value: - Both standard and GGUF formats for flexible deployment in llama.cpp and Ollama
content.type: new_line
content.raw: - Fine-tuned on 
content.type: text
content.value: - Fine-tuned on 
content.raw: https://huggingface.co/datasets/nyuuzyou/EagleSFT
content.id: nyuuzyou/EagleSFT
content.type: dataset
content.type: resource
content.url: https://huggingface.co/datasets/nyuuzyou/EagleSFT
content.raw:  dataset (536,231 Russian-English QA pairs derived from 739k+ real user queries)
content.type: text
content.value:  dataset (536,231 Russian-English QA pairs derived from 739k+ real user queries)
content.type: new_line
content.raw: - Experimental Russian language capabilities while maintaining English performance
content.type: text
content.value: - Experimental Russian language capabilities while maintaining English performance
content.type: new_line
content.raw: - Limited Russian capabilities due to SFT-only approach without Russian pre-training
content.type: text
content.value: - Limited Russian capabilities due to SFT-only approach without Russian pre-training
content.type: new_line
content.raw: - Environmental impact: ~19.75 kg CO2eq
content.type: text
content.value: - Environmental impact: ~19.75 kg CO2eq
content.type: new_line
content.type: new_line
content.raw: This collection provides compact models for research on bilingual language capabilities, resource-constrained environments, and educational applications. Not recommended for production use due to experimental nature and inherent limitations. Available under Apache 2.0 license.
content.type: text
content.value: This collection provides compact models for research on bilingual language capabilities, resource-constrained environments, and educational applications. Not recommended for production use due to experimental nature and inherent limitations. Available under Apache 2.0 license.
rawContent: 🦅 SmolLM2-Eagle Collection - https://huggingface.co/collections/nyuuzyou/smollm2-eagle-680263bf97f0c7e6bbe4936b
  
  Collection of fine-tuned bilingual language models featuring:
  - Models in three parameter sizes: 135M, 360M, and 1.7B based on HuggingFaceTB's SmolLM2 models
  - Both standard and GGUF formats for flexible deployment in llama.cpp and Ollama
  - Fine-tuned on https://huggingface.co/datasets/nyuuzyou/EagleSFT dataset (536,231 Russian-English QA pairs derived from 739k+ real user queries)
  - Experimental Russian language capabilities while maintaining English performance
  - Limited Russian capabilities due to SFT-only approach without Russian pre-training
  - Environmental impact: ~19.75 kg CO2eq
  
  This collection provides compact models for research on bilingual language capabilities, resource-constrained environments, and educational applications. Not recommended for production use due to experimental nature and inherent limitations. Available under Apache 2.0 license.
reactions.reaction: 👍
reactions.users: John6666 iojvsuynv JohnRoger mexicanamerican its5Q
commentators._id: 663a18c876e6d5b98f3cc94d
commentators.avatarUrl: /avatars/faa2a47dbdd3bce6d47e0fbed6170627.svg
commentators.fullname: Alan Tseng
commentators.name: agentlans
commentators.type: user