Marigold examples / benchmark-llm / models

benchmark-llm: models

Declared by version 0.1.0: 55.

Model Type Provider Input Output
qwen/qwen3-0.6b instruct huggingface chat chat
qwen/qwen3-1.7b instruct huggingface chat chat
qwen/qwen3-4b instruct huggingface chat chat
qwen/qwen3-8b instruct huggingface chat chat
qwen/qwen3-14b instruct huggingface chat chat
google/gemma-3-1b-it instruct huggingface chat chat
google/gemma-3-4b-it instruct huggingface chat chat
google/gemma-3-12b-it instruct huggingface chat chat
google/gemma-4-e2b-it instruct huggingface chat chat
google/gemma-4-e4b-it instruct huggingface chat chat
google/gemma-4-12b-it instruct huggingface chat chat
meta-llama/llama-3.2-1b-instruct instruct huggingface chat chat
meta-llama/llama-3.2-3b-instruct instruct huggingface chat chat
meta-llama/llama-3.1-8b-instruct instruct huggingface chat chat
cognitivecomputations/dolphin-2.9-llama3-8b instruct huggingface chat chat
huggingfacetb/smollm2-135m instruct huggingface chat chat
supralabs/supra-50m-base instruct huggingface chat chat
supralabs/supra-50m-instruct instruct huggingface chat chat
supralabs/supra-50m-reasoning instruct huggingface chat chat
huggingfacetb/smollm-135m instruct huggingface chat chat
facebook/opt-125m instruct huggingface chat chat
openai-community/gpt2 instruct huggingface chat chat
lh-tech-ai/spark-5m-base-v4 instruct huggingface chat chat
supralabs/supra-mini-v5-8m instruct huggingface chat chat
eleutherai/pythia-70m instruct huggingface chat chat
supralabs/supra-mini-v4-2m instruct huggingface chat chat
eleutherai/pythia-31m instruct huggingface chat chat
stentorlabs/portimbria-150m instruct huggingface chat chat
huggingfacetb/nanowhale-100m-base instruct huggingface chat chat
eleutherai/pythia-14m instruct huggingface chat chat
harley-ml/tenete-8m instruct huggingface chat chat
harley-ml/dillion-1.2m instruct huggingface chat chat
mihaipopa-1/cinnabarlm-1.4m-base instruct huggingface chat chat
mihaipopa-1/cinnabarlm-4m-base instruct huggingface chat chat
mihaipopa-1/cinnabarlm-1.5m-base instruct huggingface chat chat
harley-ml/dillionv2-1.3m instruct huggingface chat chat
supralabs/supra-mini-v6-1m instruct huggingface chat chat
godelev/archaea-74m instruct huggingface chat chat
thingai/quark-50m instruct huggingface chat chat
thingai/quark-135m instruct huggingface chat chat
veyra-ai/veyra-30m-base-5b-tokens instruct huggingface chat chat
fromziro/syn-2.6m instruct huggingface chat chat
godelev/ant-10m instruct huggingface chat chat
finnianx/michel-tiny instruct huggingface chat chat
finnianx/michel-micro instruct huggingface chat chat
rtc2022/kirk-tung instruct huggingface chat chat
jhu-clsp/ettin-decoder-32m instruct huggingface chat chat
jhu-clsp/ettin-decoder-17m instruct huggingface chat chat
jhu-clsp/ettin-decoder-68m instruct huggingface chat chat
jhu-clsp/ettin-decoder-150m instruct huggingface chat chat
fromziro/er-tiny-1.3m instruct huggingface chat chat
finnianx/michel-nano instruct huggingface chat chat
smalldoge/doge-20m instruct huggingface chat chat
finnianx/michel-nano-v2 instruct huggingface chat chat
56m/dumb-1.2-exp-0616 instruct huggingface chat chat

models.yaml

# Single self-contained catalogue for this example. Nothing else is
# assumed to be loaded alongside it.
#
# All names lowercase -- required, not just tidy: the submission path
# (receiver_logic.py) always lowercases the incoming model name before
# a case-sensitive DB lookup, so any mixed-case entry here is otherwise
# unreachable regardless of what the client sends.

_templates:

  slm: &slm
    provider: huggingface
    type: instruct
    input: chat
    output: chat
    # No extra_env -- everything under this template is <=151M params,
    # quantising buys nothing at this size.

  mainline: &mainline
    provider: huggingface
    type: instruct
    input: chat
    output: chat
    extra_env:
      LOAD_IN_4BIT: "1"

models:

  # --- Qwen3, full dense ladder up to the 14B cap ---

  - { <<: *mainline, name: qwen/qwen3-0.6b }
  - { <<: *mainline, name: qwen/qwen3-1.7b }
  - { <<: *mainline, name: qwen/qwen3-4b }
  - { <<: *mainline, name: qwen/qwen3-8b }
  - { <<: *mainline, name: qwen/qwen3-14b }

  # --- Gemma, both current generations, up to 12B ---

  - { <<: *mainline, name: google/gemma-3-1b-it }
  - { <<: *mainline, name: google/gemma-3-4b-it }
  - { <<: *mainline, name: google/gemma-3-12b-it }
  - { <<: *mainline, name: google/gemma-4-e2b-it }
  - { <<: *mainline, name: google/gemma-4-e4b-it }
  - { <<: *mainline, name: google/gemma-4-12b-it }

  # --- Llama family, capped at 8B -- no mainline dense Llama exists
  # between 8B and 70B, and Llama 4 moved to MoE

  - { <<: *mainline, name: meta-llama/llama-3.2-1b-instruct }
  - { <<: *mainline, name: meta-llama/llama-3.2-3b-instruct }
  - { <<: *mainline, name: meta-llama/llama-3.1-8b-instruct }
  - { <<: *mainline, name: cognitivecomputations/dolphin-2.9-llama3-8b }

  # -- https://huggingface.co/spaces/AxiomicLabs/Open_SLM_Leaderboard --- 
  # everything with trust remote code, gated, and large sized MoE

  - { <<: *slm, name: huggingfacetb/smollm2-135m }
  - { <<: *slm, name: supralabs/supra-50m-base }
  - { <<: *slm, name: supralabs/supra-50m-instruct }
  - { <<: *slm, name: supralabs/supra-50m-reasoning }
  - { <<: *slm, name: huggingfacetb/smollm-135m }
  - { <<: *slm, name: facebook/opt-125m }
  - { <<: *slm, name: openai-community/gpt2 }
  - { <<: *slm, name: lh-tech-ai/spark-5m-base-v4 }
  - { <<: *slm, name: supralabs/supra-mini-v5-8m }
  - { <<: *slm, name: eleutherai/pythia-70m }
  - { <<: *slm, name: supralabs/supra-mini-v4-2m }
  - { <<: *slm, name: eleutherai/pythia-31m }
  - { <<: *slm, name: stentorlabs/portimbria-150m }
  - { <<: *slm, name: huggingfacetb/nanowhale-100m-base }
  - { <<: *slm, name: eleutherai/pythia-14m }
  - { <<: *slm, name: harley-ml/tenete-8m }
  - { <<: *slm, name: harley-ml/dillion-1.2m }
  - { <<: *slm, name: mihaipopa-1/cinnabarlm-1.4m-base }
  - { <<: *slm, name: mihaipopa-1/cinnabarlm-4m-base }
  - { <<: *slm, name: mihaipopa-1/cinnabarlm-1.5m-base }
  - { <<: *slm, name: harley-ml/dillionv2-1.3m }
  - { <<: *slm, name: supralabs/supra-mini-v6-1m }
  - { <<: *slm, name: godelev/archaea-74m }
  - { <<: *slm, name: thingai/quark-50m }
  - { <<: *slm, name: thingai/quark-135m }
  - { <<: *slm, name: veyra-ai/veyra-30m-base-5b-tokens }
  - { <<: *slm, name: fromziro/syn-2.6m }
  - { <<: *slm, name: godelev/ant-10m }
  - { <<: *slm, name: finnianx/michel-tiny }
  - { <<: *slm, name: finnianx/michel-micro }
  - { <<: *slm, name: rtc2022/kirk-tung }
  - { <<: *slm, name: jhu-clsp/ettin-decoder-32m }
  - { <<: *slm, name: jhu-clsp/ettin-decoder-17m }
  - { <<: *slm, name: jhu-clsp/ettin-decoder-68m }
  - { <<: *slm, name: jhu-clsp/ettin-decoder-150m }
  - { <<: *slm, name: fromziro/er-tiny-1.3m }
  - { <<: *slm, name: finnianx/michel-nano }
  - { <<: *slm, name: smalldoge/doge-20m }
  - { <<: *slm, name: finnianx/michel-nano-v2 }
  - { <<: *slm, name: 56m/dumb-1.2-exp-0616 }